Index

A

abs_tol (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] absolute (agentlib_mpc.data_structures.ml_model_datatypes.OutputType attribute) activate (agentlib_mpc.data_structures.ml_model_datatypes.EarlyStoppingCallback attribute) activate_mpc() (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOff method) active (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute) (agentlib_mpc.modules.mpc.skippable_mixin.SkippableMixinConfig attribute) add_constraint() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization method), [1] add_deactivation_source() (agentlib_mpc.modules.mpc.skippable_mixin.SkippableMixinConfig class method) add_default_values (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute), [1] add_opt_par() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization method), [1] add_opt_var() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization method), [1] ADMM (class in agentlib_mpc.modules.dmpc.admm.admm), [1] admm_at_time_step() (in module agentlib_mpc.utils.analysis), [1] admm_iter_max (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] admm_step() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] admm_variables() (agentlib_mpc.data_structures.admm_datatypes.CouplingEntry method), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeEntry method), [1] ADMMBackend (class in agentlib_mpc.optimization_backends.backend), [1] ADMMCollocation (class in agentlib_mpc.optimization_backends.casadi_.admm), [1] ADMMCoordinator (class in agentlib_mpc.modules.dmpc.admm.admm_coordinator), [1] ADMMMultipleShooting (class in agentlib_mpc.optimization_backends.casadi_.admm), [1] ADMMParameters (class in agentlib_mpc.data_structures.admm_datatypes), [1] ADMMParticipation (class in agentlib_mpc.data_structures.admm_datatypes), [1] (class in agentlib_mpc.modules.dmpc.admm.admm), [1] agent_and_time (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer property) agent_id (agentlib_mpc.data_structures.coordinator_datatypes.RegistrationMessage attribute), [1] AgentDictEntry (class in agentlib_mpc.data_structures.admm_datatypes), [1] (class in agentlib_mpc.data_structures.coordinator_datatypes), [1] agentlib_mpc module, [1] agentlib_mpc.data_structures module, [1] agentlib_mpc.data_structures.admm_datatypes module, [1] agentlib_mpc.data_structures.casadi_utils module, [1] agentlib_mpc.data_structures.coordinator_datatypes module, [1] agentlib_mpc.data_structures.interpolation module agentlib_mpc.data_structures.ml_model_datatypes module agentlib_mpc.data_structures.mpc_datamodels module, [1] agentlib_mpc.models module, [1] agentlib_mpc.models.casadi_ml_model module agentlib_mpc.models.casadi_model module, [1] agentlib_mpc.models.casadi_predictor module agentlib_mpc.models.serialized_ml_model module agentlib_mpc.modules module, [1] agentlib_mpc.modules.data_source module agentlib_mpc.modules.deactivate_mpc module agentlib_mpc.modules.deactivate_mpc.deactivate_mpc module agentlib_mpc.modules.deactivate_mpc.fallback_pid module agentlib_mpc.modules.dmpc module, [1] agentlib_mpc.modules.dmpc.admm module, [1] agentlib_mpc.modules.dmpc.admm.admm module, [1] agentlib_mpc.modules.dmpc.admm.admm_coordinated module, [1] agentlib_mpc.modules.dmpc.admm.admm_coordinator module, [1] agentlib_mpc.modules.dmpc.coordinator module, [1] agentlib_mpc.modules.dmpc.employee module, [1] agentlib_mpc.modules.estimation module agentlib_mpc.modules.estimation.mhe module agentlib_mpc.modules.InputPrediction module agentlib_mpc.modules.InputPrediction.try_predictor module agentlib_mpc.modules.ml_model_training module agentlib_mpc.modules.ml_model_training.data_reduction module agentlib_mpc.modules.ml_model_training.ml_model_trainer module agentlib_mpc.modules.ml_model_training.setpoint_generator module

agentlib_mpc.modules.mpc module, [1] agentlib_mpc.modules.mpc.mpc module agentlib_mpc.modules.mpc.mpc_full module agentlib_mpc.modules.mpc.skippable_mixin module agentlib_mpc.optimization_backends module, [1] agentlib_mpc.optimization_backends.backend module, [1] agentlib_mpc.optimization_backends.casadi_ module, [1] agentlib_mpc.optimization_backends.casadi_.admm module, [1] agentlib_mpc.optimization_backends.casadi_.basic module, [1] agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml module agentlib_mpc.optimization_backends.casadi_.casadi_ml module agentlib_mpc.optimization_backends.casadi_.core module, [1] agentlib_mpc.optimization_backends.casadi_.core.casadi_backend module, [1] agentlib_mpc.optimization_backends.casadi_.core.discretization module, [1] agentlib_mpc.optimization_backends.casadi_.core.system module, [1] agentlib_mpc.optimization_backends.casadi_.core.VariableGroup module, [1] agentlib_mpc.optimization_backends.casadi_.full module, [1] agentlib_mpc.optimization_backends.casadi_.mhe module agentlib_mpc.optimization_backends.casadi_.minlp module, [1] agentlib_mpc.utils module, [1] agentlib_mpc.utils.analysis module, [1] agentlib_mpc.utils.plotting module, [1] agentlib_mpc.utils.plotting.admm_animation module, [1] agentlib_mpc.utils.plotting.admm_consensus_shades module agentlib_mpc.utils.plotting.admm_dashboard module agentlib_mpc.utils.plotting.admm_residuals module, [1] agentlib_mpc.utils.plotting.basic module, [1] agentlib_mpc.utils.plotting.discretization_structure module agentlib_mpc.utils.plotting.interactive module agentlib_mpc.utils.plotting.ml_model_test module agentlib_mpc.utils.plotting.mpc module agentlib_mpc.utils.plotting.mpc_dashboard module agentlib_mpc.utils.sampling module agentlib_mpc_hash (agentlib_mpc.models.serialized_ml_model.SerializedMLModel attribute) AgentStatus (class in agentlib_mpc.data_structures.coordinator_datatypes), [1] AgentToCoordinator (class in agentlib_mpc.data_structures.admm_datatypes), [1] alg (agentlib_mpc.models.casadi_model.CasadiInput property), [1] (agentlib_mpc.models.casadi_model.CasadiOutput property), [1] (agentlib_mpc.models.casadi_model.CasadiState property), [1] algebraics (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) all_coupling_statuses() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] all_finished (agentlib_mpc.modules.dmpc.coordinator.Coordinator property), [1] all_system_quantities() (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasadiMLSystem method) all_variables() (agentlib_mpc.data_structures.admm_datatypes.VariableReference method), [1] (agentlib_mpc.data_structures.mpc_datamodels.BaseVariableReference method), [1] (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference method), [1] alpha (agentlib_mpc.models.serialized_ml_model.GPRParameters attribute) animate_full() (in module agentlib_mpc.utils.plotting.admm_animation), [1] ANN (agentlib_mpc.models.serialized_ml_model.MLModels attribute) ANNLayerTypes (class in agentlib_mpc.models.casadi_predictor) ANNTrainer (class in agentlib_mpc.modules.ml_model_training.ml_model_trainer) arbitrary_types_allowed (agentlib_mpc.models.casadi_predictor.CasadiPredictor.Config attribute) assert_mpc_variables_are_in_model() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] (agentlib_mpc.modules.mpc.mpc.BaseMPC method) assert_recursive_outputs_are_states() (in module agentlib_mpc.models.casadi_ml_model) assert_subset() (agentlib_mpc.modules.mpc.mpc.BaseMPC method) at_registration (agentlib_mpc.modules.dmpc.admm.admm.ModuleStatus attribute), [1] auxiliaries (agentlib_mpc.models.casadi_ml_model.CasadiMLModel property) (agentlib_mpc.models.casadi_model.CasadiModel property), [1] available (agentlib_mpc.modules.dmpc.admm.admm.ParticipantStatus attribute), [1]

B

B (agentlib_mpc.optimization_backends.casadi_.basic.CollocationMatrices attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.CollocationMatrices attribute) BaseMPC (class in agentlib_mpc.modules.mpc.mpc) BaseSystem (class in agentlib_mpc.optimization_backends.casadi_.basic), [1] BaseVariableReference (class in agentlib_mpc.data_structures.mpc_datamodels), [1] bat_file (agentlib_mpc.data_structures.casadi_utils.SolverFactory attribute), [1] batch_size (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainerConfig attribute) BATCHNORMALIZATION (agentlib_mpc.models.casadi_predictor.ANNLayerTypes attribute) BatchNormalization (class in agentlib_mpc.models.casadi_predictor) bb_outputs (agentlib_mpc.models.casadi_ml_model.CasadiMLModel property) bb_states (agentlib_mpc.models.casadi_ml_model.CasadiMLModel property)

binary (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute), [1] binary_controls (agentlib_mpc.data_structures.mpc_datamodels.MINLPVariableReference attribute), [1] (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute), [1] binary_vars (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization property), [1] blue (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] bonmin (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1] build_batch_bat (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute), [1] build_ml_model() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainer method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainer method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.LinRegTrainer method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) busy (agentlib_mpc.data_structures.coordinator_datatypes.AgentStatus attribute), [1]

C

C (agentlib_mpc.optimization_backends.casadi_.basic.CollocationMatrices attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.CollocationMatrices attribute) calc_scores() (in module agentlib_mpc.utils.plotting.ml_model_test) callback() (agentlib_mpc.data_structures.ml_model_datatypes.EarlyStoppingCallback method) CasADiADMMBackend (class in agentlib_mpc.optimization_backends.casadi_.admm), [1] CasADiADMMBackend_NN (class in agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml) CasadiADMMNNSystem (class in agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml) CasadiADMMSystem (class in agentlib_mpc.optimization_backends.casadi_.admm), [1] CasadiANN (class in agentlib_mpc.models.casadi_predictor) CasADiBackend (class in agentlib_mpc.optimization_backends.casadi_.core.casadi_backend), [1] CasADiBaseBackend (class in agentlib_mpc.optimization_backends.casadi_.basic), [1] CasADiBBBackend (class in agentlib_mpc.optimization_backends.casadi_.casadi_ml) CasADiFullBackend (class in agentlib_mpc.optimization_backends.casadi_.full), [1] CasadiGPR (class in agentlib_mpc.models.casadi_predictor) CasadiInput (class in agentlib_mpc.models.casadi_model), [1] CasadiLinReg (class in agentlib_mpc.models.casadi_predictor) CasADiMINLPBackend (class in agentlib_mpc.optimization_backends.casadi_.minlp), [1] CasadiMINLPSystem (class in agentlib_mpc.optimization_backends.casadi_.minlp), [1] CasadiMLModel (class in agentlib_mpc.models.casadi_ml_model) CasadiMLSystem (class in agentlib_mpc.optimization_backends.casadi_.casadi_ml) CasadiModel (class in agentlib_mpc.models.casadi_model), [1] CasadiOutput (class in agentlib_mpc.models.casadi_model), [1] CasadiParameter (class in agentlib_mpc.models.casadi_model), [1] CasadiPredictor (class in agentlib_mpc.models.casadi_predictor) CasadiPredictor.Config (class in agentlib_mpc.models.casadi_predictor) CasadiState (class in agentlib_mpc.models.casadi_model), [1] CasadiVariable (class in agentlib_mpc.models.casadi_model), [1] check_csv() (agentlib_mpc.optimization_backends.backend.BackendConfig class method), [1] check_data() (agentlib_mpc.modules.data_source.DataSourceConfig class method) check_data_sources_exist() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig class method) check_dt() (agentlib_mpc.models.casadi_ml_model.CasadiMLModelConfig class method) check_if_save_path_is_there() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig class method) check_if_should_be_skipped() (agentlib_mpc.modules.mpc.skippable_mixin.SkippableMixin method) check_interpolation_method() (agentlib_mpc.modules.data_source.DataSourceConfig class method) check_mpc_deactivation() (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOff method) (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.SkipMPCInIntervals method) check_or_load_models() (agentlib_mpc.models.casadi_ml_model.CasadiMLModelConfig class method) check_overwrite() (agentlib_mpc.optimization_backends.backend.BackendConfig class method), [1] check_prefixes_of_variables() (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig class method), [1] check_r_del_u_in_controls() (agentlib_mpc.modules.mpc.mpc_full.MPCConfig class method) check_shares_amount_to_one() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig class method) cia_relaxed_results_path() (in module agentlib_mpc.data_structures.mpc_datamodels), [1] class_name (agentlib_mpc.optimization_backends.BackendImport attribute), [1] cleanup_results() (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinator method), [1] (agentlib_mpc.modules.estimation.mhe.MHE method) (agentlib_mpc.modules.mpc.mpc.BaseMPC method) coef (agentlib_mpc.models.serialized_ml_model.LinRegParameters attribute) collect_couplings_for_optimization() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] collect_variables_for_optimization() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] (agentlib_mpc.modules.estimation.mhe.MHE method) (agentlib_mpc.modules.mpc.mpc.BaseMPC method) (agentlib_mpc.modules.mpc.mpc_full.MPC method) collocation (agentlib_mpc.data_structures.casadi_utils.DiscretizationMethod attribute), [1] collocation_method (agentlib_mpc.data_structures.casadi_utils.CasadiDiscretizationOptions attribute), [1] collocation_order (agentlib_mpc.data_structures.casadi_utils.CasadiDiscretizationOptions attribute), [1] CollocationMatrices (class in agentlib_mpc.optimization_backends.casadi_.basic), [1] (class in agentlib_mpc.optimization_backends.casadi_.mhe) CollocationMethod (class in agentlib_mpc.data_structures.casadi_utils), [1] column_order() (in module agentlib_mpc.data_structures.ml_model_datatypes) columns (agentlib_mpc.modules.data_source.DataSourceConfig attribute) (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results attribute), [1] compile_solver() (in module agentlib_mpc.data_structures.casadi_utils), [1] compute_dupes() (in module agentlib_mpc.models.casadi_ml_model) config_type (agentlib_mpc.models.casadi_ml_model.CasadiMLModel attribute) (agentlib_mpc.modules.estimation.mhe.MHE attribute) (agentlib_mpc.optimization_backends.backend.OptimizationBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute), [1]

confirmed (agentlib_mpc.modules.dmpc.admm.admm.ParticipantStatus attribute), [1] cons_and_exchange (agentlib_mpc.modules.dmpc.admm.admm.ADMM property), [1] ConsensusVariable (class in agentlib_mpc.data_structures.admm_datatypes), [1] constant_value (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters attribute) constant_value_bounds (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig attribute) Constraint (class in agentlib_mpc.data_structures.casadi_utils), [1] constraints (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) constraints_lb (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) constraints_ub (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) controls (agentlib_mpc.data_structures.admm_datatypes.VariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.MINLPVariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.VariableReference attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) controls_when_deactivated (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig attribute) convert_index() (in module agentlib_mpc.utils.analysis), [1] convert_multi_index() (in module agentlib_mpc.utils.analysis), [1] CoordinatedADMM (class in agentlib_mpc.modules.dmpc.admm.admm_coordinated), [1] coordinator (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute), [1] Coordinator (class in agentlib_mpc.modules.dmpc.coordinator), [1] CoordinatorStatus (class in agentlib_mpc.data_structures.coordinator_datatypes), [1] CoordinatorToAgent (class in agentlib_mpc.data_structures.admm_datatypes), [1] cost_function (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute), [1] (agentlib_mpc.optimization_backends.backend.OptimizationBackend attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.basic.CasADiBaseBackend attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute) (agentlib_mpc.optimization_backends.casadi_.full.CasADiFullBackend attribute) (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasADiMINLPBackend attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) coup_vars (agentlib_mpc.data_structures.admm_datatypes.AgentDictEntry attribute), [1] coupInput (in module agentlib_mpc.modules.dmpc.admm.admm_coordinated), [1] coupling (agentlib_mpc.data_structures.coordinator_datatypes.RegistrationMessage attribute), [1] coupling_alias() (in module agentlib_mpc.data_structures.admm_datatypes), [1] coupling_grid (agentlib_mpc.optimization_backends.backend.ADMMBackend property), [1] (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend property), [1] CouplingEntry (class in agentlib_mpc.data_structures.admm_datatypes), [1] couplings (agentlib_mpc.data_structures.admm_datatypes.VariableReference attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) couplings_should_have_values() (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig class method), [1] CouplingVariable (class in agentlib_mpc.data_structures.admm_datatypes), [1] create_app() (in module agentlib_mpc.utils.plotting.admm_dashboard) create_coupling_var_plot() (in module agentlib_mpc.utils.plotting.admm_dashboard) create_inputs_and_outputs() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) create_nlp_in_out_mapping() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization method), [1] create_optimization_backend() (in module agentlib_mpc.modules.mpc.mpc) create_residuals_plot() (in module agentlib_mpc.utils.plotting.admm_dashboard) create_solver() (agentlib_mpc.data_structures.casadi_utils.SolverFactory method), [1] create_sym() (agentlib_mpc.models.casadi_model.CasadiVariable method), [1] CustomGPR (class in agentlib_mpc.models.serialized_ml_model) cvodes (agentlib_mpc.data_structures.casadi_utils.Integrators attribute), [1]

D

D (agentlib_mpc.optimization_backends.casadi_.basic.CollocationMatrices attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.CollocationMatrices attribute) dark_grey (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] dark_red (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] data (agentlib_mpc.modules.data_source.DataSourceConfig attribute) data_handling (agentlib_mpc.models.serialized_ml_model.SerializedGPR attribute) data_offset (agentlib_mpc.modules.data_source.DataSourceConfig attribute) data_sources (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) DataSource (class in agentlib_mpc.modules.data_source) day_end (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) day_lb (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) day_start (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) day_ub (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) de_register() (agentlib_mpc.modules.dmpc.admm.admm.ADMMParticipation method), [1] deactivate_mpc() (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOff method) deactivation_source (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute) (agentlib_mpc.modules.mpc.skippable_mixin.SkippableMixinConfig attribute) declare() (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter class method), [1] (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable class method), [1] decorator_info (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) default_sampling_time() (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig class method), [1] (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig class method) delta_mean (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable attribute) (agentlib_mpc.data_structures.admm_datatypes.CouplingVariable attribute), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable attribute) DENSE (agentlib_mpc.models.casadi_predictor.ANNLayerTypes attribute) Dense (class in agentlib_mpc.models.casadi_predictor) deregister_all_participants() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] description (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute) deserialize() (agentlib_mpc.models.serialized_ml_model.SerializedANN method) (agentlib_mpc.models.serialized_ml_model.SerializedGPR method) (agentlib_mpc.models.serialized_ml_model.SerializedLinReg method) (agentlib_mpc.models.serialized_ml_model.SerializedMLModel method) detect_index_type() (in module agentlib_mpc.utils.plotting.mpc_dashboard) df (agentlib_mpc.data_structures.mpc_datamodels.Results attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results property), [1] diff_trajectories (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable attribute), [1] difference (agentlib_mpc.data_structures.ml_model_datatypes.OutputType attribute)

differentials (agentlib_mpc.models.casadi_model.CasadiModel property), [1] dim (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute) (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationQuantity attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute) DirectCollocation (class in agentlib_mpc.optimization_backends.casadi_.basic), [1] (class in agentlib_mpc.optimization_backends.casadi_.full), [1] (class in agentlib_mpc.optimization_backends.casadi_.mhe) (class in agentlib_mpc.optimization_backends.casadi_.minlp), [1] disable_results_if_no_file() (agentlib_mpc.optimization_backends.backend.BackendConfig class method), [1] discretization (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) (agentlib_mpc.optimization_backends.casadi_.basic.CasADiBaseBackend attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.CasADiFullBackend attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasADiMINLPBackend attribute) Discretization (class in agentlib_mpc.optimization_backends.casadi_.core.discretization), [1] discretization_options (agentlib_mpc.optimization_backends.backend.BackendConfig attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute), [1] discretization_types (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.basic.CasADiBaseBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasADiADMMBackend_NN attribute) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasADiBBBackend attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.CasADiFullBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.MHEBackend attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasADiMINLPBackend attribute), [1] DiscretizationMethod (class in agentlib_mpc.data_structures.casadi_utils), [1] DistributedMPC (class in agentlib_mpc.modules.dmpc), [1] divide_in_tvt() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) do_jit (agentlib_mpc.data_structures.casadi_utils.SolverFactory attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute), [1] do_step() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) (agentlib_mpc.models.casadi_model.CasadiModel method), [1] (agentlib_mpc.modules.estimation.mhe.MHE method) (agentlib_mpc.modules.mpc.mpc.BaseMPC method) (agentlib_mpc.modules.mpc.mpc_full.MPC method) draggable_script() (in module agentlib_mpc.utils.plotting.interactive) dt (agentlib_mpc.models.casadi_ml_model.CasadiMLModelConfig attribute) (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute) (agentlib_mpc.models.serialized_ml_model.SerializedMLModel attribute) dual_tol (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] during_update (agentlib_mpc.data_structures.mpc_datamodels.InitStatus attribute), [1]

E

earliest_index() (in module agentlib_mpc.utils.sampling) early_stopping (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainerConfig attribute) ebc_palette_sort_1 (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] ebc_palette_sort_2 (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] EBCColors (class in agentlib_mpc.utils.plotting.basic), [1] empty_memory() (agentlib_mpc.modules.dmpc.admm.admm.ADMMParticipation method), [1] enable_deactivation (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute) (agentlib_mpc.modules.mpc.skippable_mixin.SkippableMixinConfig attribute) epochs (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainerConfig attribute) equalities (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) estimated_inputs (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute)

estimated_parameters (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) estimated_states (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) euler (agentlib_mpc.data_structures.casadi_utils.Integrators attribute), [1] evaluate_model() (in module agentlib_mpc.utils.plotting.ml_model_test) exchange (agentlib_mpc.data_structures.admm_datatypes.VariableReference attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) exchange_alias() (in module agentlib_mpc.data_structures.admm_datatypes), [1] exchange_diff (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute), [1] exchange_multiplier (agentlib_mpc.data_structures.admm_datatypes.CoordinatorToAgent attribute), [1] exchange_multipliers (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute), [1] exchange_vars (agentlib_mpc.data_structures.admm_datatypes.AgentDictEntry attribute), [1] ExchangeEntry (class in agentlib_mpc.data_structures.admm_datatypes), [1] ExchangeVariable (class in agentlib_mpc.data_structures.admm_datatypes), [1]

F

FallbackPID (class in agentlib_mpc.modules.deactivate_mpc.fallback_pid) fatrop (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1] fill_interpolations() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig class method) fill_lags() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig class method) fill_output_types() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig class method) fill_recursive_outputs() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig class method) first_vals_at_trajectory_index() (in module agentlib_mpc.utils.analysis), [1] fit_ml_model() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainer method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainer method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.LinRegTrainer method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) flat_locals() (agentlib_mpc.data_structures.admm_datatypes.CouplingVariable method), [1] flat_multipliers() (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable method), [1] FLATTEN (agentlib_mpc.models.casadi_predictor.ANNLayerTypes attribute) Flatten (class in agentlib_mpc.models.casadi_predictor) FontDict (class in agentlib_mpc.utils.plotting.basic), [1] fontsize (agentlib_mpc.utils.plotting.basic.FontDict attribute), [1] forward() (agentlib_mpc.models.casadi_predictor.BatchNormalization method) (agentlib_mpc.models.casadi_predictor.Dense method) (agentlib_mpc.models.casadi_predictor.Flatten method) (agentlib_mpc.models.casadi_predictor.LSTM method)

from_config() (agentlib_mpc.data_structures.admm_datatypes.VariableReference class method), [1] (agentlib_mpc.data_structures.mpc_datamodels.BaseVariableReference class method), [1] from_dict() (agentlib_mpc.data_structures.coordinator_datatypes.OptimizationData class method), [1] from_json() (agentlib_mpc.data_structures.admm_datatypes.StructuredValue class method), [1] from_model() (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters class method) (agentlib_mpc.models.serialized_ml_model.GPRParameters class method) from_serialized_model() (agentlib_mpc.models.casadi_predictor.CasadiPredictor class method) full_names (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute) (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationQuantity attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute) full_symbolic (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute) (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationQuantity attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute) full_with_defaults (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute), [1] FullSystem (class in agentlib_mpc.optimization_backends.casadi_.full), [1] FullVariableReference (class in agentlib_mpc.data_structures.mpc_datamodels), [1] function (agentlib_mpc.data_structures.casadi_utils.Constraint attribute), [1] (agentlib_mpc.data_structures.casadi_utils.ModelConstraint attribute), [1]

G

get() (agentlib_mpc.models.casadi_model.CasadiModel method), [1] get_activation() (agentlib_mpc.models.casadi_predictor.Layer static method) get_constraints() (agentlib_mpc.models.casadi_model.CasadiModel method), [1] get_coupling_variables() (in module agentlib_mpc.utils.plotting.admm_dashboard) get_data_for_plot() (in module agentlib_mpc.utils.plotting.admm_dashboard) get_differential_values() (agentlib_mpc.models.casadi_model.CasadiModel method), [1] get_git_revision_short_hash() (in module agentlib_mpc.models.serialized_ml_model) get_initial_guess_outputs() (agentlib_mpc.models.casadi_model.CasadiModel method), [1] get_input_values() (agentlib_mpc.models.casadi_model.CasadiModel method), [1] get_lags_per_variable() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1] (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasADiBBBackend method) get_max_iterations_per_timestep() (in module agentlib_mpc.utils.plotting.admm_dashboard) get_ml_model_values() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) get_new_measurement() (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMM method), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] get_number_of_iterations() (in module agentlib_mpc.utils.analysis), [1] get_participants_values() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] get_port() (in module agentlib_mpc.utils.plotting.interactive)

get_residual() (agentlib_mpc.data_structures.admm_datatypes.CouplingVariable method), [1] get_results() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinator method), [1] (agentlib_mpc.modules.estimation.mhe.MHE method) (agentlib_mpc.modules.mpc.mpc.BaseMPC method) get_symbolic() (in module agentlib_mpc.models.casadi_model), [1] get_time_steps() (in module agentlib_mpc.utils.analysis), [1] global_couplings (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute), [1] GPR (agentlib_mpc.models.serialized_ml_model.MLModels attribute) gpr_parameters (agentlib_mpc.models.serialized_ml_model.SerializedGPR attribute) GPRTrainer (class in agentlib_mpc.modules.ml_model_training.ml_model_trainer) green (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] grey (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] grid (agentlib_mpc.data_structures.casadi_utils.OptParMXContainer attribute), [1] (agentlib_mpc.data_structures.casadi_utils.OptVarMXContainer attribute) (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results attribute), [1] grid() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization method), [1] guess (agentlib_mpc.data_structures.casadi_utils.OptVarMXContainer attribute), [1] gurobi (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1]

H

horizon (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute)

I

import_class() (agentlib_mpc.modules.ModuleImport method), [1] import_path (agentlib_mpc.optimization_backends.BackendImport attribute), [1] InducingPoints (class in agentlib_mpc.modules.ml_model_training.data_reduction) init_full() (in module agentlib_mpc.utils.plotting.admm_animation), [1] init_iteration_callback() (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMM method), [1] (agentlib_mpc.modules.dmpc.coordinator.Coordinator method), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] init_iterations (agentlib_mpc.data_structures.coordinator_datatypes.CoordinatorStatus attribute), [1] initial_guess (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) initial_state (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) initialize() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) (agentlib_mpc.models.casadi_model.CasadiModel method), [1] (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem method), [1] (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem method), [1] (agentlib_mpc.optimization_backends.casadi_.basic.DirectCollocation method), [1] (agentlib_mpc.optimization_backends.casadi_.basic.MultipleShooting method), [1] (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasadiADMMNNSystem method) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasadiMLSystem method) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.MultipleShooting_ML method) (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization method), [1] (agentlib_mpc.optimization_backends.casadi_.core.system.System method), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem method), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.DirectCollocation method) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem method) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem method), [1] InitStatus (class in agentlib_mpc.data_structures.mpc_datamodels), [1] input (agentlib_mpc.models.serialized_ml_model.SerializedMLModel attribute) input_map (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute), [1] input_names (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer property)

input_shape (agentlib_mpc.models.casadi_predictor.CasadiANN property) (agentlib_mpc.models.casadi_predictor.CasadiGPR property) (agentlib_mpc.models.casadi_predictor.CasadiLinReg property) (agentlib_mpc.models.casadi_predictor.CasadiPredictor property) inputs (agentlib_mpc.data_structures.admm_datatypes.VariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.MINLPVariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.VariableReference attribute), [1] (agentlib_mpc.models.casadi_model.CasadiModel property), [1] (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute), [1] (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) integrator (agentlib_mpc.data_structures.casadi_utils.CasadiDiscretizationOptions attribute), [1] Integrators (class in agentlib_mpc.data_structures.casadi_utils), [1] intercept (agentlib_mpc.models.serialized_ml_model.LinRegParameters attribute) interpolate_colors() (in module agentlib_mpc.utils.plotting.mpc) interpolate_to_previous() (in module agentlib_mpc.utils.sampling) interpolation_method (agentlib_mpc.data_structures.mpc_datamodels.MPCVariable attribute), [1] (agentlib_mpc.modules.data_source.DataSourceConfig attribute) InterpolationMethods (class in agentlib_mpc.data_structures.interpolation) interpolations (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) interval (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) intervals (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.SkipMPCInIntervalsConfig attribute) ipopt (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1] is_mhe_data() (in module agentlib_mpc.utils.plotting.mpc_dashboard) is_time_in_intervals() (in module agentlib_mpc.utils), [1] it (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) iteration_timeout (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute)

J

json() (agentlib_mpc.models.casadi_model.CasadiOutput method), [1] (agentlib_mpc.models.casadi_model.CasadiState method), [1]

K

k (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) kernel_parameters (agentlib_mpc.models.serialized_ml_model.SerializedGPR attribute) known_inputs (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute)

known_parameters (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute)

L

L (agentlib_mpc.models.serialized_ml_model.GPRParameters attribute) lag (agentlib_mpc.data_structures.ml_model_datatypes.Feature attribute) lag_collection (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasADiBBBackend attribute) lagged (agentlib_mpc.data_structures.admm_datatypes.CouplingEntry property), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeEntry property), [1] lags (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) lags_dict (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasadiMLSystem attribute) last_control (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute), [1] last_vals_at_trajectory_index() (in module agentlib_mpc.utils.analysis), [1] launch_dashboard_from_results() (in module agentlib_mpc.utils.plotting.mpc_dashboard) Layer (class in agentlib_mpc.models.casadi_predictor) layers (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainerConfig attribute) lb (agentlib_mpc.data_structures.casadi_utils.Constraint attribute), [1] (agentlib_mpc.data_structures.casadi_utils.ModelConstraint attribute), [1] (agentlib_mpc.data_structures.casadi_utils.OptVarMXContainer attribute), [1] legendre (agentlib_mpc.data_structures.casadi_utils.CollocationMethod attribute), [1] length_scale (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters attribute) length_scale_bounds (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig attribute) light_blue (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] light_grey (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] light_red (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] linear (agentlib_mpc.data_structures.interpolation.InterpolationMethods attribute) LINREG (agentlib_mpc.models.serialized_ml_model.MLModels attribute) LinRegTrainer (class in agentlib_mpc.modules.ml_model_training.ml_model_trainer) load() (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData class method) load_admm() (in module agentlib_mpc.utils.analysis), [1]

load_agent_data() (in module agentlib_mpc.utils.plotting.admm_dashboard) load_mpc() (in module agentlib_mpc.utils.analysis), [1] load_mpc_stats() (in module agentlib_mpc.utils.analysis), [1] load_residuals() (in module agentlib_mpc.utils.plotting.admm_residuals), [1] load_serialized_model() (agentlib_mpc.models.serialized_ml_model.SerializedMLModel class method) load_serialized_model_from_dict() (agentlib_mpc.models.serialized_ml_model.SerializedMLModel class method) load_serialized_model_from_file() (agentlib_mpc.models.serialized_ml_model.SerializedMLModel class method) load_serialized_model_from_string() (agentlib_mpc.models.serialized_ml_model.SerializedMLModel class method) load_sim() (in module agentlib_mpc.utils.analysis), [1] local (agentlib_mpc.data_structures.admm_datatypes.CouplingEntry property), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeEntry property), [1] local_couplings (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute), [1] local_exchange (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute), [1] local_exchange_trajectory (agentlib_mpc.data_structures.admm_datatypes.AgentToCoordinator attribute), [1] local_trajectories (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable attribute) (agentlib_mpc.data_structures.admm_datatypes.CouplingVariable attribute), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable attribute) local_trajectory (agentlib_mpc.data_structures.admm_datatypes.AgentToCoordinator attribute), [1] LocalADMM (class in agentlib_mpc.modules.dmpc.admm.admm), [1] log_level (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute) log_marginal_likelihood_value (agentlib_mpc.models.serialized_ml_model.GPRParameters attribute) logger (agentlib_mpc.data_structures.casadi_utils.SolverFactory attribute), [1] LSTM (agentlib_mpc.models.casadi_predictor.ANNLayerTypes attribute) (class in agentlib_mpc.models.casadi_predictor)

M

main() (in module agentlib_mpc.utils.plotting.admm_dashboard) make_animation() (in module agentlib_mpc.utils.plotting.admm_animation), [1] make_casadi_nlp() (agentlib_mpc.data_structures.casadi_utils.SolverFactory method), [1] make_components() (in module agentlib_mpc.utils.plotting.interactive) (in module agentlib_mpc.utils.plotting.mpc_dashboard) make_fig() (in module agentlib_mpc.utils.plotting.basic), [1] make_figure_plotly() (in module agentlib_mpc.utils.plotting.interactive) make_grid() (in module agentlib_mpc.utils.plotting.basic), [1] make_image() (in module agentlib_mpc.utils.plotting.admm_animation), [1] make_lines() (in module agentlib_mpc.utils.plotting.admm_animation), [1] make_predict_function_for_mpc() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) make_side_legend() (in module agentlib_mpc.utils.plotting.basic), [1] matrix (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results attribute), [1] max (agentlib_mpc.utils.plotting.basic.ValueRange attribute), [1] max_iterations (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) max_lag (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.MultipleShootingADMMNN attribute) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasADiBBBackend attribute) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasadiMLSystem property) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.MultipleShooting_ML attribute) maxIter (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute), [1] mean (agentlib_mpc.data_structures.admm_datatypes.CouplingEntry property), [1] (agentlib_mpc.models.serialized_ml_model.GPRDataHandlingParameters attribute) mean_diff (agentlib_mpc.data_structures.admm_datatypes.ExchangeEntry property), [1] mean_diff_trajectory (agentlib_mpc.data_structures.admm_datatypes.CoordinatorToAgent attribute), [1] mean_over_interval (agentlib_mpc.data_structures.interpolation.InterpolationMethods attribute) mean_trajectory (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable attribute) (agentlib_mpc.data_structures.admm_datatypes.CoordinatorToAgent attribute), [1] (agentlib_mpc.data_structures.admm_datatypes.CouplingVariable attribute), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable attribute) measured_states (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) messages_in (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute), [1] messages_out (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute), [1] method (agentlib_mpc.data_structures.casadi_utils.CasadiDiscretizationOptions attribute), [1] MHE (class in agentlib_mpc.modules.estimation.mhe) MHEBackend (class in agentlib_mpc.optimization_backends.casadi_.mhe) MHESystem (class in agentlib_mpc.optimization_backends.casadi_.mhe) MHEVariableReference (class in agentlib_mpc.data_structures.mpc_datamodels), [1] min (agentlib_mpc.utils.plotting.basic.ValueRange attribute), [1] MiniEmployee (class in agentlib_mpc.modules.dmpc.employee), [1] MINLPVariableReference (class in agentlib_mpc.data_structures.mpc_datamodels), [1] ml_model_sources (agentlib_mpc.models.casadi_ml_model.CasadiMLModelConfig attribute) MLModel (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) MLModels (class in agentlib_mpc.models.serialized_ml_model) MLModelTrainer (class in agentlib_mpc.modules.ml_model_training.ml_model_trainer) model (agentlib_mpc.modules.mpc.mpc.BaseMPC property) (agentlib_mpc.optimization_backends.backend.BackendConfig attribute), [1] (agentlib_mpc.optimization_backends.backend.OptimizationBackend attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) (agentlib_mpc.optimization_backends.casadi_.basic.CasADiBaseBackend attribute) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasadiMLSystem attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute) (agentlib_mpc.optimization_backends.casadi_.full.CasADiFullBackend attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasADiMINLPBackend attribute) model_constraints (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) model_from_config() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1] model_parameters (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) model_post_init() (agentlib_mpc.models.casadi_ml_model.CasadiMLModelConfig method) (agentlib_mpc.models.casadi_model.CasadiModelConfig method), [1] (agentlib_mpc.modules.data_source.DataSourceConfig method) (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig method) (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.SkipMPCInIntervalsConfig method) (agentlib_mpc.modules.deactivate_mpc.fallback_pid.FallbackPIDConfig method) (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig method), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig method), [1] (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig method), [1] (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig method), [1] (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig method), [1] (agentlib_mpc.modules.dmpc.DistributedMPCConfig method), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig method), [1] (agentlib_mpc.modules.estimation.mhe.MHEConfig method) (agentlib_mpc.modules.InputPrediction.try_predictor.TRYPredictorConfig method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainerConfig method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.LinRegTrainerConfig method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig method) (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig method) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig method) (agentlib_mpc.modules.mpc.mpc_full.MPCConfig method) (agentlib_mpc.modules.mpc.skippable_mixin.SkippableMixinConfig method) model_type (agentlib_mpc.models.serialized_ml_model.SerializedANN attribute) (agentlib_mpc.models.serialized_ml_model.SerializedGPR attribute) (agentlib_mpc.models.serialized_ml_model.SerializedLinReg attribute) (agentlib_mpc.models.serialized_ml_model.SerializedMLModel attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.ANNTrainer attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainer attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.LinRegTrainer attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer attribute)

ModelConstraint (class in agentlib_mpc.data_structures.casadi_utils), [1] module agentlib_mpc, [1] agentlib_mpc.data_structures, [1] agentlib_mpc.data_structures.admm_datatypes, [1] agentlib_mpc.data_structures.casadi_utils, [1] agentlib_mpc.data_structures.coordinator_datatypes, [1] agentlib_mpc.data_structures.interpolation agentlib_mpc.data_structures.ml_model_datatypes agentlib_mpc.data_structures.mpc_datamodels, [1] agentlib_mpc.models, [1] agentlib_mpc.models.casadi_ml_model agentlib_mpc.models.casadi_model, [1] agentlib_mpc.models.casadi_predictor agentlib_mpc.models.serialized_ml_model agentlib_mpc.modules, [1] agentlib_mpc.modules.data_source agentlib_mpc.modules.deactivate_mpc agentlib_mpc.modules.deactivate_mpc.deactivate_mpc agentlib_mpc.modules.deactivate_mpc.fallback_pid agentlib_mpc.modules.dmpc, [1] agentlib_mpc.modules.dmpc.admm, [1] agentlib_mpc.modules.dmpc.admm.admm, [1] agentlib_mpc.modules.dmpc.admm.admm_coordinated, [1] agentlib_mpc.modules.dmpc.admm.admm_coordinator, [1] agentlib_mpc.modules.dmpc.coordinator, [1] agentlib_mpc.modules.dmpc.employee, [1] agentlib_mpc.modules.estimation agentlib_mpc.modules.estimation.mhe agentlib_mpc.modules.InputPrediction agentlib_mpc.modules.InputPrediction.try_predictor agentlib_mpc.modules.ml_model_training agentlib_mpc.modules.ml_model_training.data_reduction agentlib_mpc.modules.ml_model_training.ml_model_trainer agentlib_mpc.modules.ml_model_training.setpoint_generator agentlib_mpc.modules.mpc, [1] agentlib_mpc.modules.mpc.mpc agentlib_mpc.modules.mpc.mpc_full agentlib_mpc.modules.mpc.skippable_mixin agentlib_mpc.optimization_backends, [1] agentlib_mpc.optimization_backends.backend, [1] agentlib_mpc.optimization_backends.casadi_, [1] agentlib_mpc.optimization_backends.casadi_.admm, [1] agentlib_mpc.optimization_backends.casadi_.basic, [1] agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml agentlib_mpc.optimization_backends.casadi_.casadi_ml agentlib_mpc.optimization_backends.casadi_.core, [1] agentlib_mpc.optimization_backends.casadi_.core.casadi_backend, [1] agentlib_mpc.optimization_backends.casadi_.core.discretization, [1] agentlib_mpc.optimization_backends.casadi_.core.system, [1] agentlib_mpc.optimization_backends.casadi_.core.VariableGroup, [1] agentlib_mpc.optimization_backends.casadi_.full, [1] agentlib_mpc.optimization_backends.casadi_.mhe agentlib_mpc.optimization_backends.casadi_.minlp, [1] agentlib_mpc.utils, [1] agentlib_mpc.utils.analysis, [1] agentlib_mpc.utils.plotting, [1] agentlib_mpc.utils.plotting.admm_animation, [1] agentlib_mpc.utils.plotting.admm_consensus_shades agentlib_mpc.utils.plotting.admm_dashboard agentlib_mpc.utils.plotting.admm_residuals, [1] agentlib_mpc.utils.plotting.basic, [1] agentlib_mpc.utils.plotting.discretization_structure agentlib_mpc.utils.plotting.interactive agentlib_mpc.utils.plotting.ml_model_test agentlib_mpc.utils.plotting.mpc agentlib_mpc.utils.plotting.mpc_dashboard agentlib_mpc.utils.sampling module_id (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute) ModuleImport (class in agentlib_mpc.modules), [1] ModuleStatus (class in agentlib_mpc.modules.dmpc.admm.admm), [1] MPC (class in agentlib_mpc.modules.mpc.mpc_full) mpc_active_flag (agentlib_mpc.modules.deactivate_mpc.fallback_pid.FallbackPIDConfig attribute) mpc_at_time_step() (in module agentlib_mpc.utils.analysis), [1] mpc_backend_parameters (agentlib_mpc.optimization_backends.backend.OptimizationBackend attribute), [1] mpc_opt_pars (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) mpc_opt_vars (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) MPCOnOff (class in agentlib_mpc.modules.deactivate_mpc.deactivate_mpc) MPCVariable (class in agentlib_mpc.data_structures.mpc_datamodels), [1] multiple_shooting (agentlib_mpc.data_structures.casadi_utils.DiscretizationMethod attribute), [1] MultipleShooting (class in agentlib_mpc.optimization_backends.casadi_.basic), [1] (class in agentlib_mpc.optimization_backends.casadi_.full), [1] (class in agentlib_mpc.optimization_backends.casadi_.minlp), [1] MultipleShooting_ML (class in agentlib_mpc.optimization_backends.casadi_.casadi_ml) MultipleShootingADMMNN (class in agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml) multiplier (agentlib_mpc.data_structures.admm_datatypes.CoordinatorToAgent attribute), [1] (agentlib_mpc.data_structures.admm_datatypes.CouplingEntry property), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeEntry property), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable attribute), [1] multipliers (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable attribute), [1] (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute), [1]

N

n_features_in (agentlib_mpc.models.serialized_ml_model.GPRParameters attribute) (agentlib_mpc.models.serialized_ml_model.LinRegParameters attribute) n_restarts_optimizer (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig attribute) name (agentlib_mpc.data_structures.admm_datatypes.AgentDictEntry attribute) (agentlib_mpc.data_structures.admm_datatypes.CouplingEntry attribute), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeEntry attribute), [1] (agentlib_mpc.data_structures.casadi_utils.SolverFactory attribute), [1] (agentlib_mpc.data_structures.casadi_utils.SolverOptions attribute), [1] (agentlib_mpc.data_structures.coordinator_datatypes.AgentDictEntry attribute), [1] (agentlib_mpc.data_structures.ml_model_datatypes.Feature attribute) (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute) (agentlib_mpc.optimization_backends.backend.BackendConfig attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute) (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute) (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationQuantity attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute) name_with_lag() (in module agentlib_mpc.data_structures.ml_model_datatypes) night_lb (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute)

night_ub (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) nlp (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization property), [1] no_interpolation (agentlib_mpc.data_structures.interpolation.InterpolationMethods attribute) noise_level (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig attribute) noise_level_bounds (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig attribute) non_controlled_inputs (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) non_recursive_features_have_to_be_absolute() (agentlib_mpc.data_structures.ml_model_datatypes.OutputFeature class method) normalize (agentlib_mpc.models.serialized_ml_model.GPRDataHandlingParameters attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig attribute) not_available (agentlib_mpc.modules.dmpc.admm.admm.ParticipantStatus attribute), [1] not_participating (agentlib_mpc.modules.dmpc.admm.admm.ParticipantStatus attribute), [1] not_started (agentlib_mpc.modules.dmpc.admm.admm.ModuleStatus attribute), [1] now (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) NystroemReducer (class in agentlib_mpc.modules.ml_model_training.data_reduction)

O

obj_plot() (in module agentlib_mpc.utils.plotting.interactive) objective_function (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) ode (agentlib_mpc.models.casadi_model.CasadiState property), [1] (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) only_positive_times_in_results (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.DirectCollocation attribute) opt (agentlib_mpc.data_structures.casadi_utils.OptVarMXContainer attribute), [1] opt_pars (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) opt_vars (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) opt_vars_lb (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) opt_vars_ub (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) optim_results_callback() (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinator method), [1] (agentlib_mpc.modules.dmpc.coordinator.Coordinator method), [1] optimization (agentlib_mpc.data_structures.coordinator_datatypes.CoordinatorStatus attribute), [1] optimization_backend (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) optimization_data (agentlib_mpc.data_structures.coordinator_datatypes.AgentDictEntry attribute), [1] OptimizationBackend (class in agentlib_mpc.optimization_backends.backend), [1] OptimizationData (class in agentlib_mpc.data_structures.coordinator_datatypes), [1] OptimizationParameter (class in agentlib_mpc.optimization_backends.casadi_.core.VariableGroup), [1] OptimizationQuantity (class in agentlib_mpc.optimization_backends.casadi_.core.VariableGroup), [1] OptimizationVariable (class in agentlib_mpc.optimization_backends.casadi_.core.VariableGroup), [1] optimize() (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMM method), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] optimizing (agentlib_mpc.modules.dmpc.admm.admm.ModuleStatus attribute), [1] options (agentlib_mpc.data_structures.casadi_utils.SolverFactory attribute), [1] (agentlib_mpc.data_structures.casadi_utils.SolverOptions attribute), [1]

OptParMXContainer (class in agentlib_mpc.data_structures.casadi_utils), [1] opts (agentlib_mpc.data_structures.coordinator_datatypes.RegistrationMessage attribute), [1] OptVarMXContainer (class in agentlib_mpc.data_structures.casadi_utils), [1] order (agentlib_mpc.optimization_backends.casadi_.basic.CollocationMatrices attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.CollocationMatrices attribute) osqp (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1] output (agentlib_mpc.models.serialized_ml_model.SerializedMLModel attribute) output_equations (agentlib_mpc.models.casadi_model.CasadiModel property), [1] output_map (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute), [1] output_names (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer property) output_shape (agentlib_mpc.models.casadi_predictor.CasadiPredictor property) output_type (agentlib_mpc.data_structures.ml_model_datatypes.OutputFeature attribute) output_types (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) outputs (agentlib_mpc.data_structures.admm_datatypes.VariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] (agentlib_mpc.data_structures.mpc_datamodels.MINLPVariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.VariableReference attribute), [1] (agentlib_mpc.models.casadi_model.CasadiModel property), [1] (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.mhe.MHESystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) OutputType (class in agentlib_mpc.data_structures.ml_model_datatypes) overwrite_result_file (agentlib_mpc.optimization_backends.backend.BackendConfig attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute)

P

pairwise() (in module agentlib_mpc.utils.sampling) pairwise_sort() (in module agentlib_mpc.utils.plotting.ml_model_test) parameters (agentlib_mpc.data_structures.admm_datatypes.VariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.MINLPVariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.VariableReference attribute), [1] (agentlib_mpc.models.casadi_model.CasadiModel property), [1] (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute), [1] (agentlib_mpc.models.serialized_ml_model.SerializedLinReg attribute) (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasadiADMMNNSystem property) (agentlib_mpc.optimization_backends.casadi_.core.system.System property), [1] participant_callback() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] participants (agentlib_mpc.data_structures.admm_datatypes.CouplingVariable property), [1] ParticipantStatus (class in agentlib_mpc.modules.dmpc.admm.admm), [1] participating (agentlib_mpc.data_structures.admm_datatypes.ADMMParticipation attribute), [1] past_couplings (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasadiADMMNNSystem attribute) past_exchange (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasadiADMMNNSystem attribute) patience (agentlib_mpc.data_structures.ml_model_datatypes.EarlyStoppingCallback attribute) penalty_change_factor (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] penalty_change_threshold (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] penalty_factor (agentlib_mpc.data_structures.admm_datatypes.ADMMParameters attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute), [1] penalty_factor_var (agentlib_mpc.modules.dmpc.admm.admm.ADMM property), [1] penalty_parameter (agentlib_mpc.data_structures.admm_datatypes.CoordinatorToAgent attribute), [1] pending (agentlib_mpc.data_structures.coordinator_datatypes.AgentStatus attribute), [1] perform_index_update() (in module agentlib_mpc.utils.analysis), [1] plot_admm() (in module agentlib_mpc.utils.plotting.mpc) plot_admm_plotly() (in module agentlib_mpc.utils.plotting.interactive) plot_consensus_shades() (in module agentlib_mpc.utils.plotting.admm_consensus_shades) plot_mpc() (in module agentlib_mpc.utils.plotting.mpc) plot_mpc_plotly() (in module agentlib_mpc.utils.plotting.interactive) (in module agentlib_mpc.utils.plotting.mpc_dashboard) plot_over_time() (in module agentlib_mpc.utils.plotting.admm_residuals), [1]

plot_single_time_step() (in module agentlib_mpc.utils.plotting.admm_residuals), [1] pre_computation_hook() (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] (agentlib_mpc.modules.mpc.mpc.BaseMPC method) pre_module_init (agentlib_mpc.data_structures.mpc_datamodels.InitStatus attribute), [1] pred_time (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization attribute) predict() (agentlib_mpc.models.casadi_predictor.CasadiPredictor method) (agentlib_mpc.models.serialized_ml_model.CustomGPR method) predict_array() (in module agentlib_mpc.utils.plotting.ml_model_test) prediction_function (agentlib_mpc.models.casadi_predictor.CasadiPredictor attribute) prediction_horizon (agentlib_mpc.data_structures.admm_datatypes.ADMMParameters attribute), [1] (agentlib_mpc.data_structures.casadi_utils.CasadiDiscretizationOptions attribute) (agentlib_mpc.data_structures.mpc_datamodels.DiscretizationOptions attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) prediction_length (agentlib_mpc.modules.InputPrediction.try_predictor.TRYPredictorConfig attribute) predictions (agentlib_mpc.modules.InputPrediction.try_predictor.TRYPredictorConfig attribute) predictor_model (agentlib_mpc.models.casadi_predictor.CasadiPredictor attribute) previous (agentlib_mpc.data_structures.interpolation.InterpolationMethods attribute) primal_residual (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable attribute) (agentlib_mpc.data_structures.admm_datatypes.CouplingVariable attribute), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable attribute) primal_tol (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] process() (agentlib_mpc.modules.data_source.DataSource method) (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOff method) (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMM method), [1] (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMM method), [1] (agentlib_mpc.modules.dmpc.coordinator.Coordinator method), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] (agentlib_mpc.modules.estimation.mhe.MHE method) (agentlib_mpc.modules.InputPrediction.try_predictor.TRYPredictor method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGenerator method) (agentlib_mpc.modules.mpc.mpc.BaseMPC method) process_mas_results() (in module agentlib_mpc.utils.plotting.mpc_dashboard) proxqp (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1] public_active_message (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig attribute) public_inactive_message (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig attribute)

Q

qpoases (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1]

quantities (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasadiADMMNNSystem property) (agentlib_mpc.optimization_backends.casadi_.core.system.System property), [1]

R

r_del_u (agentlib_mpc.data_structures.mpc_datamodels.FullVariableReference property), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.mpc.mpc_full.MPCConfig attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute), [1] r_del_u_convention() (in module agentlib_mpc.data_structures.mpc_datamodels), [1] radau (agentlib_mpc.data_structures.casadi_utils.CollocationMethod attribute), [1] rank (agentlib_mpc.models.serialized_ml_model.LinRegParameters attribute) re_init_optimization() (agentlib_mpc.modules.mpc.mpc.BaseMPC method) read_results_file() (agentlib_mpc.modules.estimation.mhe.MHE static method) (agentlib_mpc.modules.mpc.mpc.BaseMPC static method) ready (agentlib_mpc.data_structures.admm_datatypes.ADMMParticipation attribute), [1] (agentlib_mpc.data_structures.coordinator_datatypes.AgentStatus attribute), [1] (agentlib_mpc.data_structures.mpc_datamodels.InitStatus attribute), [1] receive_participant() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] recursive (agentlib_mpc.data_structures.ml_model_datatypes.OutputFeature attribute) recursive_outputs (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) red (agentlib_mpc.utils.plotting.basic.EBCColors attribute), [1] reduce() (agentlib_mpc.modules.ml_model_training.data_reduction.InducingPoints method) (agentlib_mpc.modules.ml_model_training.data_reduction.NystroemReducer method) reduce_triple_index() (in module agentlib_mpc.utils.plotting.mpc_dashboard) ref_names (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute) (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationQuantity attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute) register_agent() (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinator method), [1] register_callbacks() (agentlib_mpc.modules.data_source.DataSource method) (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOff method) (agentlib_mpc.modules.dmpc.coordinator.Coordinator method), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] (agentlib_mpc.modules.estimation.mhe.MHE method) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGenerator method) (agentlib_mpc.modules.mpc.mpc.BaseMPC method) register_callbacks_for_lagged_variables() (agentlib_mpc.modules.mpc.mpc_full.MPC method) register_logger() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1]

register_ml_models() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) registered_participants (agentlib_mpc.modules.dmpc.admm.admm.ADMM property), [1] registration_callback() (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMM method), [1] (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinator method), [1] (agentlib_mpc.modules.dmpc.coordinator.Coordinator method), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] registration_delay (agentlib_mpc.modules.dmpc.admm.admm.LocalADMM property), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute), [1] registration_interval (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute), [1] registration_period (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] RegistrationMessage (class in agentlib_mpc.data_structures.coordinator_datatypes), [1] rel_tol (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] request_frequency (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute), [1] resample() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) RESCALING (agentlib_mpc.models.casadi_predictor.ANNLayerTypes attribute) reset_participants_ready() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] reset_setup_attributes() (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend method), [1] residuals_over_time() (in module agentlib_mpc.utils.plotting.admm_residuals), [1] restore_best_weights (agentlib_mpc.data_structures.ml_model_datatypes.EarlyStoppingCallback attribute) result_stats (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) results (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) Results (class in agentlib_mpc.data_structures.mpc_datamodels), [1] (class in agentlib_mpc.optimization_backends.casadi_.core.discretization), [1] results_file (agentlib_mpc.optimization_backends.backend.BackendConfig attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute) results_file_exists() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1] results_folder_exists() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1] retrain_delay (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) retrain_model() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) rk (agentlib_mpc.data_structures.casadi_utils.Integrators attribute), [1] root (agentlib_mpc.optimization_backends.casadi_.basic.CollocationMatrices attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.CollocationMatrices attribute)

S

sample() (agentlib_mpc.optimization_backends.casadi_.mhe.MHEBackend static method) (in module agentlib_mpc.utils.sampling) sample_values_to_target_grid() (in module agentlib_mpc.utils.sampling) sampling_time (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) save() (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData method) save_all() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) save_data (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) save_directory (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) save_iter_interval (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] save_ml_model (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) save_ml_model() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) save_only_stats (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute), [1] save_plots (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) save_result_df() (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend method), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend method), [1] save_results (agentlib_mpc.optimization_backends.backend.BackendConfig attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute) save_serialized_model() (agentlib_mpc.models.serialized_ml_model.SerializedMLModel method) save_solve_stats (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] scale (agentlib_mpc.models.serialized_ml_model.GPRDataHandlingParameters attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.GPRTrainerConfig attribute) send_coupling_values() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] send_coupling_variable() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] send_measurement() (agentlib_mpc.modules.InputPrediction.try_predictor.TRYPredictor method) send_prediction() (agentlib_mpc.modules.InputPrediction.try_predictor.TRYPredictor method) serialize() (agentlib_mpc.models.serialized_ml_model.SerializedANN class method) (agentlib_mpc.models.serialized_ml_model.SerializedGPR class method) (agentlib_mpc.models.serialized_ml_model.SerializedLinReg class method) (agentlib_mpc.models.serialized_ml_model.SerializedMLModel class method) serialize_ml_model() (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer method) serialized_model (agentlib_mpc.models.casadi_predictor.CasadiPredictor attribute) set_actuation() (agentlib_mpc.modules.mpc.mpc.BaseMPC method) set_differential_values() (agentlib_mpc.models.casadi_model.CasadiModel method), [1] set_output() (agentlib_mpc.modules.mpc.mpc.BaseMPC method) set_output_values() (agentlib_mpc.models.casadi_model.CasadiModel method), [1] set_outputs (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) set_predict_request() (agentlib_mpc.models.serialized_ml_model.CustomGPR method) set_score_request() (agentlib_mpc.models.serialized_ml_model.CustomGPR method) set_with_timestamp() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) SetPointGenerator (class in agentlib_mpc.modules.ml_model_training.setpoint_generator) setup_optimization() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend method), [1] setup_system() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) (agentlib_mpc.models.casadi_model.CasadiModel method), [1] shared (agentlib_mpc.modules.data_source.DataSourceConfig attribute) shared_variable_fields (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute), [1] (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute), [1] (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) shift_trajectories() (agentlib_mpc.modules.dmpc.employee.MiniEmployee method), [1] shift_values_by_one() (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable method), [1] (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable method), [1] shim (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) show_admm_dashboard() (in module agentlib_mpc.utils.plotting.admm_dashboard) show_dashboard() (in module agentlib_mpc.utils.plotting.interactive) show_multi_room_dashboard() (in module agentlib_mpc.utils.plotting.mpc_dashboard) sim_step (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasadiMLSystem attribute)

sim_step_quantities (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasadiADMMNNSystem property) sim_time (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute) singular (agentlib_mpc.models.serialized_ml_model.LinRegParameters attribute) SkipMPCInIntervals (class in agentlib_mpc.modules.deactivate_mpc.deactivate_mpc) SkippableMixin (class in agentlib_mpc.modules.mpc.skippable_mixin) sleeping (agentlib_mpc.data_structures.coordinator_datatypes.CoordinatorStatus attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ModuleStatus attribute), [1] solve() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1] (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend method), [1] (agentlib_mpc.optimization_backends.casadi_.core.discretization.Discretization method), [1] solve_stats_file (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] solve_stats_file_is_csv() (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig class method), [1] solver (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig attribute), [1] solver_return() (in module agentlib_mpc.utils.plotting.interactive) SolverFactory (class in agentlib_mpc.data_structures.casadi_utils), [1] Solvers (class in agentlib_mpc.data_structures.casadi_utils), [1] source (agentlib_mpc.data_structures.admm_datatypes.ADMMParticipation attribute), [1] spline3 (agentlib_mpc.data_structures.interpolation.InterpolationMethods attribute) spy_structure() (in module agentlib_mpc.utils.plotting.discretization_structure) sqpmethod (agentlib_mpc.data_structures.casadi_utils.Solvers attribute), [1] standby (agentlib_mpc.data_structures.coordinator_datatypes.AgentStatus attribute), [1] state_weights (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) state_weights_are_in_states() (agentlib_mpc.modules.estimation.mhe.MHEConfig class method) states (agentlib_mpc.data_structures.admm_datatypes.VariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] (agentlib_mpc.data_structures.mpc_datamodels.MINLPVariableReference attribute) (agentlib_mpc.data_structures.mpc_datamodels.VariableReference attribute), [1] (agentlib_mpc.models.casadi_model.CasadiModel property), [1] (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasadiADMMSystem attribute) (agentlib_mpc.optimization_backends.casadi_.basic.BaseSystem attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.FullSystem attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasadiMINLPSystem attribute) stats (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results attribute), [1] stats_line() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results method), [1] stats_path() (in module agentlib_mpc.data_structures.mpc_datamodels), [1] status (agentlib_mpc.data_structures.coordinator_datatypes.AgentDictEntry attribute), [1] (agentlib_mpc.data_structures.coordinator_datatypes.RegistrationMessage attribute), [1] std (agentlib_mpc.models.serialized_ml_model.GPRDataHandlingParameters attribute) step() (agentlib_mpc.models.casadi_predictor.LSTM method) step_size (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) structure (agentlib_mpc.models.serialized_ml_model.SerializedANN attribute), [1] StructuredValue (class in agentlib_mpc.data_structures.admm_datatypes), [1] Style (class in agentlib_mpc.utils.plotting.basic), [1] sym (agentlib_mpc.models.casadi_model.CasadiVariable property), [1] sym_input (agentlib_mpc.models.casadi_predictor.CasadiPredictor attribute) sync_delay (agentlib_mpc.modules.dmpc.admm.admm.LocalADMM property), [1] (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute), [1] syncing (agentlib_mpc.modules.dmpc.admm.admm.ModuleStatus attribute), [1] system (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute), [1] (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.basic.CasADiBaseBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasADiADMMBackend_NN attribute) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasADiBBBackend attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.CasADiFullBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.MHEBackend attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasADiMINLPBackend attribute), [1] System (class in agentlib_mpc.optimization_backends.casadi_.core.system), [1] system_type (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.basic.CasADiBaseBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasADiADMMBackend_NN attribute) (agentlib_mpc.optimization_backends.casadi_.casadi_ml.CasADiBBBackend attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.full.CasADiFullBackend attribute), [1] (agentlib_mpc.optimization_backends.casadi_.mhe.MHEBackend attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasADiMINLPBackend attribute), [1]

T

t_sample (agentlib_mpc.modules.data_source.DataSourceConfig attribute) (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.MPCOnOffConfig attribute) target (agentlib_mpc.data_structures.admm_datatypes.CoordinatorToAgent attribute), [1] target_variable (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGeneratorConfig attribute) temporary_directory() (in module agentlib_mpc.data_structures.casadi_utils), [1] test_inputs (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData attribute) test_outputs (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData attribute) test_share (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) theta (agentlib_mpc.models.serialized_ml_model.GPRKernelParameters attribute) time_out_non_responders (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute), [1] time_series_length (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) time_series_memory_size (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) time_step (agentlib_mpc.data_structures.admm_datatypes.ADMMParameters attribute), [1] (agentlib_mpc.data_structures.casadi_utils.CasadiDiscretizationOptions attribute) (agentlib_mpc.data_structures.mpc_datamodels.DiscretizationOptions attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) (agentlib_mpc.modules.mpc.mpc.BaseMPCConfig attribute)

time_unit (agentlib_mpc.modules.deactivate_mpc.deactivate_mpc.SkipMPCInIntervalsConfig attribute) to_dict() (agentlib_mpc.data_structures.coordinator_datatypes.OptimizationData method), [1] (agentlib_mpc.models.serialized_ml_model.SerializedANN method) to_json() (agentlib_mpc.data_structures.admm_datatypes.StructuredValue method), [1] train_share (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) training_info (agentlib_mpc.models.serialized_ml_model.SerializedMLModel attribute) (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainer property) training_inputs (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData attribute) training_outputs (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData attribute) TrainingData (class in agentlib_mpc.data_structures.ml_model_datatypes) transform_index() (agentlib_mpc.modules.data_source.DataSource method) trigger_optimizations() (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinator method), [1] (agentlib_mpc.modules.dmpc.coordinator.Coordinator method), [1] TRYPredictor (class in agentlib_mpc.modules.InputPrediction.try_predictor) type (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute)

U

u (agentlib_mpc.data_structures.coordinator_datatypes.OptimizationData attribute), [1] ub (agentlib_mpc.data_structures.casadi_utils.Constraint attribute), [1] (agentlib_mpc.data_structures.casadi_utils.ModelConstraint attribute), [1] (agentlib_mpc.data_structures.casadi_utils.OptVarMXContainer attribute), [1] update_diff_trajectories() (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable method), [1] update_dimensions() (agentlib_mpc.models.casadi_predictor.Layer method) update_discretization_options() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1] update_lambda() (agentlib_mpc.modules.dmpc.admm.admm.ADMM method), [1] update_mean_trajectory() (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable method), [1] update_ml_models() (agentlib_mpc.models.casadi_ml_model.CasadiMLModel method) update_model_variables() (agentlib_mpc.optimization_backends.backend.OptimizationBackend method), [1]

update_multiplier() (agentlib_mpc.data_structures.admm_datatypes.ExchangeVariable method), [1] update_multipliers() (agentlib_mpc.data_structures.admm_datatypes.ConsensusVariable method), [1] update_target() (agentlib_mpc.modules.ml_model_training.setpoint_generator.SetPointGenerator method) updating (agentlib_mpc.data_structures.coordinator_datatypes.CoordinatorStatus attribute), [1] (agentlib_mpc.modules.dmpc.admm.admm.ModuleStatus attribute), [1] use_in_stage_function (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationParameter attribute) (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationQuantity attribute), [1] (agentlib_mpc.optimization_backends.casadi_.core.VariableGroup.OptimizationVariable attribute), [1] use_relative_tolerances (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] use_values_for_incomplete_data (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) user_config (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute)

V

validate_compile() (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasadiBackendConfig class method), [1] validate_incoming_values (agentlib_mpc.modules.dmpc.admm.admm.ADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm.LocalADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinated.CoordinatedADMMConfig attribute) (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.coordinator.CoordinatorConfig attribute) (agentlib_mpc.modules.dmpc.employee.MiniEmployeeConfig attribute) validate_variables (agentlib_mpc.models.casadi_model.CasadiModelConfig attribute) validation_inputs (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData attribute) validation_outputs (agentlib_mpc.data_structures.ml_model_datatypes.TrainingData attribute) validation_share (agentlib_mpc.modules.ml_model_training.ml_model_trainer.MLModelTrainerConfig attribute) ValueRange (class in agentlib_mpc.utils.plotting.basic), [1] var (agentlib_mpc.data_structures.casadi_utils.OptParMXContainer attribute), [1] (agentlib_mpc.data_structures.casadi_utils.OptVarMXContainer attribute)

var_ref (agentlib_mpc.modules.dmpc.admm.admm.ADMM attribute), [1] (agentlib_mpc.modules.estimation.mhe.MHE attribute) (agentlib_mpc.optimization_backends.backend.OptimizationBackend attribute) (agentlib_mpc.optimization_backends.casadi_.admm.CasADiADMMBackend attribute) (agentlib_mpc.optimization_backends.casadi_.basic.CasADiBaseBackend attribute) (agentlib_mpc.optimization_backends.casadi_.core.casadi_backend.CasADiBackend attribute) (agentlib_mpc.optimization_backends.casadi_.full.CasADiFullBackend attribute) (agentlib_mpc.optimization_backends.casadi_.minlp.CasADiMINLPBackend attribute) variable_grid_indices (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results attribute), [1] variable_lookup() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results method), [1] VariableReference (class in agentlib_mpc.data_structures.admm_datatypes), [1] (class in agentlib_mpc.data_structures.mpc_datamodels), [1] variables (agentlib_mpc.optimization_backends.casadi_.casadi_admm_ml.CasadiADMMNNSystem property) (agentlib_mpc.optimization_backends.casadi_.core.system.System property), [1] verbose (agentlib_mpc.data_structures.ml_model_datatypes.EarlyStoppingCallback attribute)

W

wait_time_on_start_iters (agentlib_mpc.modules.dmpc.admm.admm_coordinator.ADMMCoordinatorConfig attribute), [1] waiting_for_other_agents (agentlib_mpc.modules.dmpc.admm.admm.ModuleStatus attribute), [1] warn_for_missed_solves() (agentlib_mpc.modules.mpc.mpc.BaseMPC method) weights (agentlib_mpc.models.serialized_ml_model.SerializedANN attribute), [1]

weights_states (agentlib_mpc.data_structures.mpc_datamodels.MHEVariableReference attribute), [1] wrapped (agentlib_mpc.modules.estimation.mhe.MHEConfig attribute) write_columns() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results method), [1] write_stats_columns() (agentlib_mpc.optimization_backends.casadi_.core.discretization.Results method), [1]

X

x (agentlib_mpc.data_structures.coordinator_datatypes.OptimizationData attribute), [1]

X_train (agentlib_mpc.models.serialized_ml_model.GPRParameters attribute)

Y

y_train (agentlib_mpc.models.serialized_ml_model.GPRParameters attribute)