Cover Image

Data-driven MPC with terminal conditions in the Koopman framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Worthmann, Karl, Strässer, Robin, Schaller, Manuel, Berberich, Julian, Allgöwer, Frank
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

SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)

Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control
by: Strässer, Robin, et al.
Published: (2025)

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

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

Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency
by: Strässer, Robin, et al.
Published: (2024)

Stability of data-driven Koopman MPC with terminal conditions
by: Schimperna, Irene, et al.
Published: (2025)

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

An overview of Koopman-based control: From error bounds to closed-loop guarantees
by: Strässer, Robin, et al.
Published: (2025)

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

Stability in data-driven MPC: an inherent robustness perspective
by: Berberich, Julian, et al.
Published: (2022)

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

Kernel EDMD for data-driven nonlinear Koopman MPC with stability guarantees
by: Bold, Lea, et al.
Published: (2025)

Offset-free Nonlinear MPC with Koopman-based Surrogate Models
by: Schimperna, Irene, et al.
Published: (2025)

Combining Prior Knowledge and Data for Robust Controller Design
by: Berberich, Julian, et al.
Published: (2020)

Robust stability analysis of a simple data-driven model predictive control approach
by: Bongard, Joscha, et al.
Published: (2021)

Transient performance of MPC for tracking without terminal constraints
by: Ehmann, Nadine, et al.
Published: (2025)

Kernel-based Koopman approximants for control: Flexible sampling, error analysis, and stability
by: Bold, Lea, et al.
Published: (2024)

Linearly discounted economic MPC without terminal conditions for periodic optimal operation
by: Schwenkel, Lukas, et al.
Published: (2022)

On stability and non-averaged performance of economic MPC with terminal conditions for optimal periodic operation
by: Mair, Jonas, et al.
Published: (2026)

Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization
by: Xie, Yifan, et al.
Published: (2025)

Data-driven Model Predictive Control: Asymptotic Stability despite Approximation Errors exemplified in the Koopman framework
by: Schimperna, Irene, et al.
Published: (2025)

Spatial decay of perturbations in hyperbolic equations with optimal boundary control
by: Oppeneiger, Benedikt, et al.
Published: (2025)

Exponential stability of data-driven nonlinear MPC based on input/output models
by: Bold, Lea, et al.
Published: (2026)

Data-Driven Min-Max MPC with Integral Quadratic Constraints
by: Xie, Yifan, et al.
Published: (2026)

Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation
by: Xie, Yifan, et al.
Published: (2024)

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

End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)

Adaptive Data-Driven Min-Max MPC for Linear Time-Varying Systems
by: Xie, Yifan, et al.
Published: (2026)

On discount functions for economic model predictive control without terminal conditions
by: Schwenkel, Lukas, et al.
Published: (2024)

Energy-optimal control of discrete-time port-Hamiltonian systems
by: Sarkar, Arijit, et al.
Published: (2025)

A quantitative and constructive proof of Willems' Fundamental Lemma and its implications
by: Berberich, Julian, et al.
Published: (2022)

Spatial exponential decay of perturbations in optimal control of general evolution equations
by: Göttlich, Simone, et al.
Published: (2025)

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

Data-Driven Min-Max MPC for LPV Systems with Unknown Scheduling Signal
by: Xie, Yifan, et al.
Published: (2024)

Modularized data-driven approximation of the Koopman operator and generator
by: Guo, Yang, et al.
Published: (2024)

Analysis and design of model predictive control frameworks for dynamic operation -- An overview
by: Köhler, Johannes, et al.
Published: (2023)

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

Stable MPC with maximal terminal sets and quadratic terminal costs
by: Johansson, Mikael, et al.
Published: (2024)

A Koopman Set-Membership Approach for Nonlinear Data-Driven Control with Stability Guarantees
by: Xie, Yifan, et al.
Published: (2026)

Fast and memory-efficient optimization for large-scale data-driven predictive control
by: Schmitz, Philipp, et al.
Published: (2024)