Switched Systems Control via Discreteness-Promoting Regularization

Fuente: arXiv
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Main Authors: Nagahara, Masaaki, Ikeda, Takuya, Hoshimoto, Ritsuki
Format: Preprint
Published: 2025
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author Nagahara, Masaaki
Ikeda, Takuya
Hoshimoto, Ritsuki
author_facet Nagahara, Masaaki
Ikeda, Takuya
Hoshimoto, Ritsuki
contents This paper proposes a novel method for designing finite-horizon discrete-valued switching signals in linear switched systems based on discreteness-promoting regularization. The inherent combinatorial optimization problem is reformulated as a continuous optimization problem with a non-convex regularization term that promotes discreteness of the control. We prove that any solution obtained from the relaxed problem is also a solution to the original problem. The resulting non-convex optimization problem is efficiently solved through time discretization. Numerical examples demonstrate the effectiveness of the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2505_01803
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Switched Systems Control via Discreteness-Promoting Regularization
Nagahara, Masaaki
Ikeda, Takuya
Hoshimoto, Ritsuki
Optimization and Control
Systems and Control
This paper proposes a novel method for designing finite-horizon discrete-valued switching signals in linear switched systems based on discreteness-promoting regularization. The inherent combinatorial optimization problem is reformulated as a continuous optimization problem with a non-convex regularization term that promotes discreteness of the control. We prove that any solution obtained from the relaxed problem is also a solution to the original problem. The resulting non-convex optimization problem is efficiently solved through time discretization. Numerical examples demonstrate the effectiveness of the proposed method.
title Switched Systems Control via Discreteness-Promoting Regularization
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2505.01803