Imagen de Portada

Performance guaranteed MPC Policy Approximation via Cost Guided Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Chenchen, Cao, Yi, Yang, Shuang-hua
Formato:	Preprint
Publicado:	2026
Materias:	Optimization and Control Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Global self-optimizing control of batch processes
por: Zhou, Chenchen, et al.
Publicado: (2026)

Generalized Global Self-Optimizing Control for Chemical Processes: Part II Objective-Guided Controlled Variable Learning Approach
por: Zhou, Chenchen, et al.
Publicado: (2026)

Data-driven MPC with stability guarantees using extended dynamic mode decomposition
por: Bold, Lea, et al.
Publicado: (2023)

Automatic nonlinear MPC approximation with closed-loop guarantees
por: Tokmak, Abdullah, et al.
Publicado: (2023)

On Piecewise Quadratic Terminal Costs for MPC
por: Mulagaleti, Sampath Kumar, et al.
Publicado: (2026)

Transient Performance of MPC for Tracking
por: Köhler, Matthias, et al.
Publicado: (2023)

On Building Myopic MPC Policies using Supervised Learning
por: Orrico, Christopher A., et al.
Publicado: (2024)

Learning-based Homothetic Tube MPC
por: Gao, Yulong, et al.
Publicado: (2025)

BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation
por: Zuliani, Riccardo, et al.
Publicado: (2023)

Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
por: Zhou, Chenchen, et al.
Publicado: (2026)

Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
por: Zuliani, Riccardo, et al.
Publicado: (2026)

Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees
por: Bartos, Marcell, et al.
Publicado: (2025)

Performance guarantees for optimization-based state estimation using turnpike properties
por: Schiller, Julian D., et al.
Publicado: (2025)

Distributionally Robust Stochastic MPC under Disturbance-Affine Feedback Policies
por: Chen, Xu, et al.
Publicado: (2026)

Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees
por: Chatzikiriakos, Nicolas, et al.
Publicado: (2024)

Piecewise regression via mixed-integer programming for MPC
por: Teichrib, Dieter, et al.
Publicado: (2024)

Koopman-based feedback design with stability guarantees
por: Strässer, Robin, et al.
Publicado: (2023)

Linear Quadratic Mean Field Games with Quantile-Dependent Cost Coefficients
por: Gao, Shuang, et al.
Publicado: (2024)

Constraint Removal for MPC with Performance Preservation and a Hyperthermia Cancer Treatment Case Study
por: Nouwens, S. A. N., et al.
Publicado: (2024)

Bilevel MPC for Linear Systems: A Tractable Reduction and Continuous Connection to Hierarchical MPC
por: Moriyasu, Ryuta, et al.
Publicado: (2026)

Transmission Neural Networks: Approximate Receding Horizon Control for Virus Spread on Networks
por: Gao, Shuang, et al.
Publicado: (2025)

$π$MPC: A Parallel-in-horizon and Construction-free NMPC Solver
por: Wu, Liang, et al.
Publicado: (2026)

Newton and interior-point methods for (constrained) nonconvex-nonconcave minmax optimization with stability and instability guarantees
por: Chinchilla, Raphael, et al.
Publicado: (2022)

Adaptive tracking MPC for nonlinear systems via online linear system identification
por: Strelnikova, Tatiana, et al.
Publicado: (2024)

Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning
por: Petrenz, Hannes, et al.
Publicado: (2025)

Output Feedback MPC with Adaptive Tubes
por: Dey, Anchita, et al.
Publicado: (2026)

Rethinking Strict Dissipativity for Economic MPC
por: Zanon, Mario
Publicado: (2026)

Convergence guarantees for adaptive model predictive control with kinky inference
por: Zuliani, Riccardo, et al.
Publicado: (2023)

Koopman-based control of nonlinear systems with closed-loop guarantees
por: Strässer, Robin, et al.
Publicado: (2024)

Configuration-Constrained Tube MPC for Tracking
por: Badalamenti, Filippo, et al.
Publicado: (2024)

Guaranteed Robust Nonlinear MPC via Disturbance Feedback
por: Leeman, Antoine P., et al.
Publicado: (2025)

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
por: Hose, Henrik, et al.
Publicado: (2024)

Semi-definite programs for online control of nonlinear systems with stability guarantees
por: Dai, Xiaoyan
Publicado: (2026)

Adaptive Economic Model Predictive Control for linear systems with performance guarantees
por: Degner, Maximilian, et al.
Publicado: (2024)

Control of bilinear systems using gain-scheduling: Stability and performance guarantees
por: Strässer, Robin, et al.
Publicado: (2023)

An overview of systems-theoretic guarantees in data-driven model predictive control
por: Berberich, Julian, et al.
Publicado: (2024)

Polynomial Parametric Koopman Operators for Stochastic MPC
por: Iliakis, Efstathios, et al.
Publicado: (2026)

A distributed framework for linear adaptive MPC
por: Parsi, Anilkumar, et al.
Publicado: (2021)

Efficient computation of Lipschitz constants for MPC with symmetries
por: Teichrib, Dieter, et al.
Publicado: (2023)

Configuration-Constrained Tube MPC for Periodic Operation
por: Badalamenti, Filippo, et al.
Publicado: (2025)