Cover Image

A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Teichrib, Dieter, Darup, Moritz Schulze
Format:	Preprint
Published:	2025
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

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

Reachability analysis for piecewise affine systems with neural network-based controllers
by: Teichrib, Dieter, 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)

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)

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)

Reliably-stabilizing piecewise-affine neural network controllers
by: Fabiani, Filippo, et al.
Published: (2021)

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

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

Learning the cost-to-go for mixed-integer nonlinear model predictive control
by: Orrico, Christopher A., et al.
Published: (2024)

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

A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)

Minimax problems for ensembles of control-affine systems
by: Scagliotti, Alessandro
Published: (2024)

Scalable iterative Gramian synthesis for control-affine systems
by: Yu, Zongxi, et al.
Published: (2026)

Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
by: Mitrai, Ilias, et al.
Published: (2023)

Nonlocal error bounds for piecewise affine functions
by: Dolgopolik, M. V.
Published: (2022)

Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study
by: Turan, E. M., et al.
Published: (2024)

Mixed-integer linear programming approaches for tree partitioning of power networks
by: Lan, Leon, et al.
Published: (2021)

Neural network based control of unknown nonlinear systems via contraction analysis
by: Yin, Hao, et al.
Published: (2025)

A model-based framework for controlling activated sludge plants
by: Neto, Otacilio B. L., et al.
Published: (2024)

Robust targeted exploration for systems with non-stochastic disturbances
by: Venkatasubramanian, Janani, et al.
Published: (2024)

Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)

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

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

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

Generic controllability of equivariant systems and applications to particle systems and neural networks
by: Agrachev, Andrei, et al.
Published: (2024)

Investigating the effect of edge modifications on networked control systems
by: Lindmark, Gustav, et al.
Published: (2020)

Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)

Robust synchronization for multi-agent systems governed by PDEs with observable and unobservable disturbances
by: Bi, Yongchun, et al.
Published: (2026)

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

A moving horizon estimator for aquifer thermal energy storages
by: van Randenborgh, Johannes, et al.
Published: (2025)

Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
by: Fabiani, Filippo, et al.
Published: (2022)

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

Performance bounds for multi-vehicle networks with local integrators
by: Hansson, Jonas, et al.
Published: (2024)

Stabilization of singularly perturbed networked control systems over a single channel
by: Wang, Weixuan, et al.
Published: (2025)