Image de couverture de livre

Data-Driven Predictive Control and MPC: Do we achieve optimality?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Anand, Akhil S, Sawant, Shambhuraj, Reinhardt, Dirk, Gros, Sebastien
Format:	Preprint
Publié:	2024
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Economic Model Predictive Control as a Solution to Markov Decision Processes
par: Reinhardt, Dirk, et autres
Publié: (2024)

All AI Models are Wrong, but Some are Optimal
par: Anand, Akhil S, et autres
Publié: (2025)

Optimality Conditions for Model Predictive Control: Rethinking Predictive Model Design
par: Anand, Akhil S, et autres
Publié: (2024)

Direct transfer of optimized controllers to similar systems using dimensionless MPC
par: Hromatko, Josip Kir, et autres
Publié: (2025)

Closing the Sim2Real Performance Gap in RL
par: Anand, Akhil S, et autres
Publié: (2025)

Differentiable Nonlinear Model Predictive Control
par: Frey, Jonathan, et autres
Publié: (2025)

Robustifying Model Predictive Control of Uncertain Linear Systems with Chance Constraints
par: Wang, Kai, et autres
Publié: (2024)

CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound
par: Anand, Akhil S, et autres
Publié: (2025)

Data-Driven Distributionally Robust Control for Interacting Agents under Logical Constraints
par: Kordabad, Arash Bahari, et autres
Publié: (2025)

Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
par: Kungurtsev, Vyacheslav, et autres
Publié: (2025)

MPC4RL -- A Software Package for Reinforcement Learning based on Model Predictive Control
par: Reinhardt, Dirk, et autres
Publié: (2025)

Data-Driven Domestic Flexible Demand: Observations from experiments in cold climate
par: Reinhardt, Dirk, et autres
Publié: (2024)

Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees
par: Schurig, Roland, et autres
Publié: (2023)

Data-Driven Identification of Attack-free Sensors in Networked Control Systems
par: Anand, Sribalaji C., et autres
Publié: (2023)

Near-optimal performance of stochastic economic MPC
par: Schießl, Jonas, et autres
Publié: (2024)

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers
par: Alavilli, Anoushka, et autres
Publié: (2023)

Causality-Informed Data-Driven Predictive Control
par: Sader, Malika, et autres
Publié: (2023)

Tube-Based Robust Data-Driven Predictive Control
par: Wang, Chi, et autres
Publié: (2026)

On Data-Driven Stochastic Output-Feedback Predictive Control
par: Pan, Guanru, et autres
Publié: (2022)

Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections
par: Dabiri, Azita, et autres
Publié: (2025)

Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees
par: Bartos, Marcell, et autres
Publié: (2025)

Code Generation and Conic Constraints for Model-Predictive Control on Microcontrollers with Conic-TinyMPC
par: Mahajan, Ishaan, et autres
Publié: (2024)

Data-Driven Predictive Control with Adaptive Disturbance Attenuation for Constrained Systems
par: Li, Nan, et autres
Publié: (2024)

Linearly discounted economic MPC without terminal conditions for periodic optimal operation
par: Schwenkel, Lukas, et autres
Publié: (2022)

Data-Driven Predictive Control Using Closed-Loop Data: An Instrumental Variable Approach
par: Wang, Yibo, et autres
Publié: (2023)

Data-driven MPC with terminal conditions in the Koopman framework
par: Worthmann, Karl, et autres
Publié: (2024)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer ($Π$-MPC)
par: Pabon, Luis, et autres
Publié: (2024)

From a Frequency-Domain Willems' Lemma to Data-Driven Predictive Control
par: Meijer, T. J., et autres
Publié: (2025)

On stability and non-averaged performance of economic MPC with terminal conditions for optimal periodic operation
par: Mair, Jonas, et autres
Publié: (2026)

Data-Driven Output Prediction and Control of Stochastic Systems: An Innovation-Based Approach
par: Wang, Yibo, et autres
Publié: (2022)

Autonomous driving using an optimized neural network based adaptive LPV-MPC controller
par: Kebbati, Yassine, et autres
Publié: (2025)

Data-Driven Analysis and Predictive Control of Descriptor Systems with Application to Power and Water Networks
par: Zhang, Yuan, et autres
Publié: (2025)

ASAP-MPC: An Asynchronous Update Scheme for Online Motion Planning with Nonlinear Model Predictive Control
par: Dirckx, Dries, et autres
Publié: (2024)

Dynamic Constrained Stabilization on the n-sphere
par: Sawant, Mayur, et autres
Publié: (2026)

Constrained Stabilization on the n-Sphere with Conic and Star-shaped Constraints
par: Sawant, Mayur, et autres
Publié: (2025)

A Trajectory-Based Approach to Controlled Invariance and Recursively Feasible MPC
par: Wembe, Emmanuel Junior Wafo, et autres
Publié: (2026)

Data-Driven Tube-Based Zonotopic Predictive Control With Nonconvex Layered Terminal Sets
par: Zhang, Zhen, et autres
Publié: (2026)

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors
par: Balim, Haldun, et autres
Publié: (2024)

Probabilistic reachable sets of stochastic nonlinear systems with contextual uncertainties
par: Shen, Xun, et autres
Publié: (2024)

BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation
par: Zuliani, Riccardo, et autres
Publié: (2023)