Image de couverture de livre

Computationally Efficient System Level Tube-MPC for Uncertain Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sieber, Jerome, Didier, Alexandre, Zeilinger, Melanie N.
Format:	Preprint
Publié:	2024
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

Task-Level Insights from Eigenvalues across Sequence Models
par: Rickenbach, Rahel, et autres
Publié: (2025)

Approximate predictive control barrier function for discrete-time systems
par: Didier, Alexandre, et autres
Publié: (2024)

A multiobjective approach to robust predictive control barrier functions for discrete-time systems
par: Didier, Alexandre, et autres
Publié: (2025)

Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
par: Sieber, Jerome, et autres
Publié: (2024)

Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems
par: Ohnemus, Jonas, et autres
Publié: (2026)

Guaranteed Robust Nonlinear MPC via Disturbance Feedback
par: Leeman, Antoine P., et autres
Publié: (2025)

Efficient Uniform Feasible Set Sampling for Approximate Linear MPC
par: Milios, Elias, et autres
Publié: (2026)

State Space Models as Foundation Models: A Control Theoretic Overview
par: Alonso, Carmen Amo, et autres
Publié: (2024)

Predictive stability filters for nonlinear dynamical systems affected by disturbances
par: Didier, Alexandre, et autres
Publié: (2024)

Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds
par: Trisovic, Jelena, et autres
Publié: (2024)

A robust and adaptive MPC formulation for Gaussian process models
par: Dubied, Mathieu, et autres
Publié: (2025)

Robust Nonlinear Optimal Control via System Level Synthesis
par: Leeman, Antoine P., et autres
Publié: (2023)

ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning
par: Rickenbach, Rahel, et autres
Publié: (2025)

Automatic nonlinear MPC approximation with closed-loop guarantees
par: Tokmak, Abdullah, et autres
Publié: (2023)

An MPC framework for efficient navigation of mobile robots in cluttered environments
par: Köhler, Johannes, et autres
Publié: (2025)

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions
par: Leeman, Antoine P., et autres
Publié: (2024)

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework
par: Prajapat, Manish, et autres
Publié: (2024)

From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements
par: Balim, Haldun, et autres
Publié: (2024)

Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters
par: Bartos, Marcell, et autres
Publié: (2025)

Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning
par: Petrenz, Hannes, et autres
Publié: (2025)

Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework
par: Eberhard, Patrick Benito, et autres
Publié: (2025)

Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise
par: Köhler, Johannes, et autres
Publié: (2024)

A model predictive control framework with robust stability guarantees under unbounded disturbances
par: Köhler, Johannes, et autres
Publié: (2022)

On the role of the signature transform in nonlinear systems and data-driven control
par: Scampicchio, Anna, et autres
Publié: (2024)

Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies
par: Wüthrich, Joschua, et autres
Publié: (2026)

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems
par: Degner, Maximilian, et autres
Publié: (2024)

Adaptive MPC for Constrained Trajectory Tracking of Uncertain LTI System with Input-Rate Limits
par: Dey, Bishal, et autres
Publié: (2026)

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis
par: Leeman, Antoine P., et autres
Publié: (2026)

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

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)

A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems
par: Muntwiler, Simon, et autres
Publié: (2023)

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

Safe Guaranteed Exploration for Non-linear Systems
par: Prajapat, Manish, et autres
Publié: (2024)

Configuration-Constrained Tube MPC for Periodic Operation
par: Badalamenti, Filippo, et autres
Publié: (2025)

Robust Model Predictive Control for Constrained Uncertain Systems Based on Concentric Container and Varying Tube
par: Han, Shibo, et autres
Publié: (2024)

MHE under parametric uncertainty -- Robust state estimation without informative data
par: Muntwiler, Simon, et autres
Publié: (2023)

Nonlinear Functional Estimation: Functional Detectability and Full Information Estimation
par: Muntwiler, Simon, et autres
Publié: (2023)

Inverse Optimal Control with Constraint Relaxation
par: Rickenbach, Rahel, et autres
Publié: (2025)