Cover Image

Towards a unifying framework for data-driven predictive control with quadratic regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Klädtke, Manuel, Darup, Moritz Schulze
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)

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

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)

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

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

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

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

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

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

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

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

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

Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints
by: Schwenkel, Lukas, et al.
Published: (2025)

Data-driven MPC with terminal conditions in the Koopman framework
by: Worthmann, Karl, et al.
Published: (2024)

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

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

A characteristic function framework for chance constraint programming in stochastic model predictive control
by: Ying, Yuwei, et al.
Published: (2026)

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

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

Towards privacy-preserving cooperative control via encrypted distributed optimization
by: Binfet, Philipp, et al.
Published: (2024)

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)

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

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

Towards a constructive framework for control theory
by: Osinenko, Pavel
Published: (2025)

Linear quadratic control for discrete-time systems with stochastic and bounded noises
by: Ma, Xuehui, et al.
Published: (2025)

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)

Multi-objective robust controller synthesis with integral quadratic constraints in discrete-time
by: Schwenkel, Lukas, et al.
Published: (2025)

Guaranteed cost structured control in infinite-horizon linear-quadratic cooperative differential games
by: Roy, Aniruddha, et al.
Published: (2026)

Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems
by: Zhang, Han, et al.
Published: (2022)

Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control
by: Matni, Nikolai, et al.
Published: (2024)