Cover Image

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Balim, Haldun, Carron, Andrea, Zeilinger, Melanie N., Köhler, Johannes
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements
by: Balim, Haldun, et al.
Published: (2024)

Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise
by: Köhler, Johannes, et al.
Published: (2024)

A model predictive control framework with robust stability guarantees under unbounded disturbances
by: Köhler, Johannes, et al.
Published: (2022)

An MPC framework for efficient navigation of mobile robots in cluttered environments
by: Köhler, Johannes, et al.
Published: (2025)

Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems
by: Ohnemus, Jonas, et al.
Published: (2026)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer ($Π$-MPC)
by: Pabon, Luis, et al.
Published: (2024)

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

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems
by: Degner, Maximilian, et al.
Published: (2024)

Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals
by: Köhler, Johannes, et al.
Published: (2025)

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

Robust Nonlinear Optimal Control via System Level Synthesis
by: Leeman, Antoine P., et al.
Published: (2023)

Stochastic Model Predictive Control for Sub-Gaussian Noise
by: Ao, Yunke, et al.
Published: (2025)

Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation
by: Bartels, Lars, et al.
Published: (2026)

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions
by: Leeman, Antoine P., et al.
Published: (2024)

Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters
by: Bartos, Marcell, et al.
Published: (2025)

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

Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)

Zero-Order Optimization for Gaussian Process-based Model Predictive Control
by: Lahr, Amon, et al.
Published: (2022)

Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics
by: Prajapat, Manish, et al.
Published: (2025)

A robust and adaptive MPC formulation for Gaussian process models
by: Dubied, Mathieu, et al.
Published: (2025)

Approximate non-linear model predictive control with safety-augmented neural networks
by: Hose, Henrik, et al.
Published: (2023)

Active Learning-based Model Predictive Coverage Control
by: Rickenbach, Rahel, et al.
Published: (2023)

Predictive stability filters for nonlinear dynamical systems affected by disturbances
by: Didier, Alexandre, et al.
Published: (2024)

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

Approximate predictive control barrier function for discrete-time systems
by: Didier, Alexandre, et al.
Published: (2024)

A multiobjective approach to robust predictive control barrier functions for discrete-time systems
by: Didier, Alexandre, et al.
Published: (2025)

Safe Guaranteed Exploration for Non-linear Systems
by: Prajapat, Manish, et al.
Published: (2024)

On Data-Driven Stochastic Output-Feedback Predictive Control
by: Pan, Guanru, et al.
Published: (2022)

Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion
by: Liu, Zishun, et al.
Published: (2025)

Physics-informed Gaussian Processes as Linear Model Predictive Controller with Constraint Satisfaction
by: Tebbe, Jörn, et al.
Published: (2025)

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework
by: Prajapat, Manish, et al.
Published: (2024)

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
by: Balim, Haldun, et al.
Published: (2025)

Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework
by: Eberhard, Patrick Benito, et al.
Published: (2025)

Certainty-equivalent adaptive MPC for uncertain nonlinear systems
by: Köhler, Johannes
Published: (2026)

Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP
by: Numerow, Logan, et al.
Published: (2024)

Multiple Joint Chance Constraints Approximation for Uncertainty Modeling in Dispatch Problems
by: Wen, Yilin, et al.
Published: (2024)

Uncertainty-Aware Perception-Based Control for Autonomous Racing
by: Trisovic, Jelena, et al.
Published: (2025)

Chance constrained optimization of energy intensive production as beneficial power units
by: Nicklaus, Johannes, et al.
Published: (2025)

Data-Driven Distributionally Robust Control for Interacting Agents under Logical Constraints
by: Kordabad, Arash Bahari, et al.
Published: (2025)

Computing Optimal Joint Chance Constrained Control Policies
by: Schmid, Niklas, et al.
Published: (2023)