Cover Image

Extending direct data-driven predictive control towards systems with finite control sets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Klädtke, Manuel, Darup, Moritz Schulze, Quevedo, Daniel E.
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

Towards explainable data-driven predictive control with regularizations
by: Klädtke, Manuel, et al.
Published: (2025)

Implicit predictors in regularized data-driven predictive control
by: Klädtke, Manuel, et al.
Published: (2023)

On data usage and predictive behavior of data-driven predictive control with 1-norm regularization
by: Klädtke, Manuel, et al.
Published: (2025)

Towards a unifying framework for data-driven predictive control with quadratic regularization
by: Klädtke, Manuel, et al.
Published: (2024)

Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks
by: Klädtke, Manuel, et al.
Published: (2023)

On the Effect of Quadratic Regularization in Direct Data-Driven LQR
by: Klädtke, Manuel, et al.
Published: (2026)

Error bounds for maxout neural network approximations of model predictive control
by: Teichrib, Dieter, et al.
Published: (2023)

A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
by: Teichrib, Dieter, et al.
Published: (2025)

On the design of stabilizing FIR controllers
by: Adamek, Janis, et al.
Published: (2024)

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

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

MPC using mixed-integer programming for aquifer thermal energy storages
by: van Randenborgh, Johannes, et al.
Published: (2024)

Sample- and computationally efficient data-driven predictive control
by: Alsalti, Mohammad, et al.
Published: (2023)

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

Reachability analysis for piecewise affine systems with neural network-based controllers
by: Teichrib, Dieter, et al.
Published: (2024)

A lightweight numerical model for predictive control of borehole thermal energy storages
by: van Randenborgh, Johannes, et al.
Published: (2025)

A code-driven tutorial on encrypted control: From pioneering realizations to modern implementations
by: Schlüter, Nils, et al.
Published: (2024)

Trajectory-based data-driven predictive control and the state-space predictor
by: Premer, Levi D. Reyes, et al.
Published: (2026)

Ellipsoidal partitions for improved multi-stage robust model predictive control
by: Heinlein, Moritz, et al.
Published: (2025)

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

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

Data-driven $H_{\infty}$ predictive control for constrained systems: a Lagrange duality approach
by: Wu, Wenhuang, et al.
Published: (2024)

Data-driven control of nonlinear systems from input-output data
by: Dai, Xiaoyan, et al.
Published: (2023)

Notes on data-driven output-feedback control of linear MIMO systems
by: Alsalti, Mohammad, et al.
Published: (2023)

Soft projections for robust data-driven control
by: Sasfi, András, et al.
Published: (2026)

Gaussian behaviors: representations and data-driven control
by: Sasfi, András, et al.
Published: (2025)

Data-driven control-oriented modelling for MPC-based control of urban drainage systems
by: Romero-Ben, Luis, et al.
Published: (2025)

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

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

Explicit feedback synthesis for nonlinear robust model predictive control driven by quasi-interpolation
by: Ganguly, Siddhartha, et al.
Published: (2023)

The impact of modeling approaches on controlling safety-critical, highly perturbed systems: the case for data-driven models
by: Łaszkiewicz, Piotr, et al.
Published: (2025)

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

Data-driven control of continuous-time systems: A synthesis-operator approach
by: Wakaiki, Masashi
Published: (2025)

Region-free explicit model predictive control for linear systems on Hilbert spaces
by: Kurula, Mikael, et al.
Published: (2022)

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

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

Event-triggered control of nonlinear systems from data
by: Chen, Hailong, et al.
Published: (2025)

On the (non-)resilience of encrypted controllers to covert attacks
by: Binfet, Philipp, et al.
Published: (2026)

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

Learning a convex cost-to-go for single step model predictive control
by: Turan, E. M., et al.
Published: (2023)