Image de couverture de livre

Configuration-Constrained Tube MPC for Periodic Operation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Badalamenti, Filippo, Borja-Conde, Jose A., Mulagaleti, Sampath Kumar, Houska, Boris, Bemporad, Alberto, Villanueva, Mario Eduardo
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control 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

Configuration-Constrained Tube MPC for Tracking
par: Badalamenti, Filippo, et autres
Publié: (2024)

Efficient Configuration-Constrained Tube MPC via Variables Restriction and Template Selection
par: Badalamenti, Filippo, et autres
Publié: (2025)

On Piecewise Quadratic Terminal Costs for MPC
par: Mulagaleti, Sampath Kumar, et autres
Publié: (2026)

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness
par: Mulagaleti, Sampath Kumar, et autres
Publié: (2025)

Dual MPC for quasi-Linear Parameter Varying systems
par: Mulagaleti, Sampath Kumar, et autres
Publié: (2026)

Control Lyapunov Function Design via Configuration-Constrained Polyhedral Computing
par: Houska, Boris, et autres
Publié: (2025)

Combined Learning of Linear Parameter-Varying Models and Robust Control Invariant Sets
par: Mulagaleti, Sampath Kumar, et autres
Publié: (2024)

A Regularization and Active Learning Method for Identification of Quasi Linear Parameter Varying Systems
par: Mulagaleti, Sampath Kumar, et autres
Publié: (2025)

Polyhedral Control Design: Theory and Methods
par: Houska, Boris, et autres
Publié: (2024)

Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate
par: Mulagaleti, Sampath Kumar, et autres
Publié: (2023)

Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach
par: Borja-Conde, Jose A., et autres
Publié: (2025)

An active learning method for solving competitive multi-agent decision-making and control problems
par: Fabiani, Filippo, et autres
Publié: (2022)

Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems
par: Masti, Daniele, et autres
Publié: (2023)

Output Feedback MPC with Adaptive Tubes
par: Dey, Anchita, et autres
Publié: (2026)

Learning-based Homothetic Tube MPC
par: Gao, Yulong, et autres
Publié: (2025)

An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization
par: Bemporad, Alberto
Publié: (2024)

Frequency Constrained MPC for Efficient Grid Side Operation of Wind Power Conversion Systems
par: Karaca, Orcun, et autres
Publié: (2024)

Operator Models for Continuous-Time Offline Reinforcement Learning
par: Hoischen, Nicolas, et autres
Publié: (2025)

Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
par: Bemporad, Alberto, et autres
Publié: (2025)

Adaptive Tube MPC: Beyond a Common Quadratically Stabilizing Feedback Gain
par: Dey, Anchita, et autres
Publié: (2026)

Feedback Synthesis for Nonlinear Systems Via Convex Control Lyapunov Functions
par: Villanueva, Mario Eduardo, et autres
Publié: (2025)

Rethinking Strict Dissipativity for Economic MPC
par: Zanon, Mario
Publié: (2026)

Polynomial Parametric Koopman Operators for Stochastic MPC
par: Iliakis, Efstathios, et autres
Publié: (2026)

Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees
par: Chatzikiriakos, Nicolas, et autres
Publié: (2024)

Ensemble Kalman Inversion for Constrained Nonlinear MPC: An ADMM-Splitting Approach
par: Khalil, Ahmed, et autres
Publié: (2025)

Economic Linear Quadratic MPC With Non-Unique Optimal Solutions
par: Zanon, Mario
Publié: (2025)

Parametric Nonconvex Optimization via Convex Surrogates
par: Wang, Renzi, et autres
Publié: (2026)

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

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

Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
par: Hoischen, Nicolas, et autres
Publié: (2024)

Sequential Operation of Residential Energy Hubs using Physics-Based Economic Nonlinear MPC
par: Slaifstein, Darío, et autres
Publié: (2025)

Bandwidth reduction methods for packetized MPC over lossy networks
par: Mingoia, Alberto, et autres
Publié: (2026)

Transient Performance of MPC for Tracking
par: Köhler, Matthias, et autres
Publié: (2023)

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

Bilevel MPC for Linear Systems: A Tractable Reduction and Continuous Connection to Hierarchical MPC
par: Moriyasu, Ryuta, et autres
Publié: (2026)

Actively learning equilibria in Nash games with misleading information
par: Franci, Barbara, et autres
Publié: (2025)

Operator Splitting for Convex Constrained Markov Decision Processes
par: Grontas, Panagiotis D., et autres
Publié: (2024)

Stability in data-driven MPC: an inherent robustness perspective
par: Berberich, Julian, et autres
Publié: (2022)

A distributed framework for linear adaptive MPC
par: Parsi, Anilkumar, et autres
Publié: (2021)

Efficient computation of Lipschitz constants for MPC with symmetries
par: Teichrib, Dieter, et autres
Publié: (2023)