Virtual Contraction Approach to Decentralized Adaptive Stabilization of Nonlinear Time-Delayed Networks

Fuente: arXiv
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Main Authors: Kawano, Yu, Sun, Zhiyong
Format: Preprint
Published: 2025
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author Kawano, Yu
Sun, Zhiyong
author_facet Kawano, Yu
Sun, Zhiyong
contents In this paper, we exploit a diagonally dominant structure for the decentralized stabilization of unknown nonlinear time-delayed networks. To this end, we first introduce a novel generalization of virtual contraction analysis to diagonally dominant time-delayed control systems. We then show that nonlinear time-delayed networks can be stabilized using diagonal high-gains, provided that the input matrices satisfy certain generalized (column/row) diagonally dominant conditions. To enable stabilization of unknown networks, we further propose a distributed adaptive tuning rule for each individual gain function, guaranteeing that all closed-loop trajectories converge to the origin while the gains converge to finite values. The effectiveness of the proposed decentralized adaptive control is illustrated through a case study on epidemic spreading control in SIS networks with transmission delays.
format Preprint
id arxiv_https___arxiv_org_abs_2504_10855
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Virtual Contraction Approach to Decentralized Adaptive Stabilization of Nonlinear Time-Delayed Networks
Kawano, Yu
Sun, Zhiyong
Systems and Control
Optimization and Control
In this paper, we exploit a diagonally dominant structure for the decentralized stabilization of unknown nonlinear time-delayed networks. To this end, we first introduce a novel generalization of virtual contraction analysis to diagonally dominant time-delayed control systems. We then show that nonlinear time-delayed networks can be stabilized using diagonal high-gains, provided that the input matrices satisfy certain generalized (column/row) diagonally dominant conditions. To enable stabilization of unknown networks, we further propose a distributed adaptive tuning rule for each individual gain function, guaranteeing that all closed-loop trajectories converge to the origin while the gains converge to finite values. The effectiveness of the proposed decentralized adaptive control is illustrated through a case study on epidemic spreading control in SIS networks with transmission delays.
title Virtual Contraction Approach to Decentralized Adaptive Stabilization of Nonlinear Time-Delayed Networks
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2504.10855