Input-to-State Stability of Nonlinear Time-Delay Coupled Systems on Networks With Delay-Dependent Impulses

In this paper, the input-to-state stability (ISS) problem is addressed for nonlinear delayed coupled systems on networks (CSNs) with delay-dependent impulses. Utilizing graph theory and Lyapunov-Krasovskii method, an ISS Lyapunov function for the entire network is formulated built upon the ISS Lyapunov functions of individual vertex systems and sufficient conditions of ISS for general nonlinear delayed impulsive coupled systems on networks are obtained. It is shown that, when every continuous vertex system is ISS, the nonlinear delayed impulsive coupled systems according to a directed graph can still maintain ISS property provided destabilizing impulses occur infrequently. Compared with the existing results on impulsive CSNs, our results are more general and easier to verify. Additionally, we provide a simulation example to demonstrate the usefulness of the obtained results.

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Publication Details

Journal
IEEE Transactions on Control of Network Systems
Published
2025-05-16
DOI
https://doi.org/10.1109/tcns.2025.3570929
Primary Topic
Neural Networks Stability and Synchronization
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article
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article

Input-to-State Stability of Nonlinear Time-Delay Coupled Systems on Networks With Delay-Dependent Impulses

Hongxiao Hu, Liguang Xu, Zhengtao Ding, Yang Hong
IEEE Transactions on Control of Network Systems
Neural Networks Stability and Synchronization
article

Input-to-State Stability of Nonlinear Time-Delay Coupled Systems on Networks With Delay-Dependent Impulses

Hongxiao Hu, Liguang Xu, Zhengtao Ding, Yang Hong
article en

Abstract

In this paper, the input-to-state stability (ISS) problem is addressed for nonlinear delayed coupled systems on networks (CSNs) with delay-dependent impulses. Utilizing graph theory and Lyapunov-Krasovskii method, an ISS Lyapunov function for the entire network is formulated built upon the ISS Lyapunov functions of individual vertex systems and sufficient conditions of ISS for general nonlinear delayed impulsive coupled systems on networks are obtained. It is shown that, when every continuous vertex system is ISS, the nonlinear delayed impulsive coupled systems according to a directed graph can still maintain ISS property provided destabilizing impulses occur infrequently. Compared with the existing results on impulsive CSNs, our results are more general and easier to verify. Additionally, we provide a simulation example to demonstrate the usefulness of the obtained results.

IEEE Transactions on Control of Network SystemsVol. 12(3)
University of Shanghai for Science and Technology (CN), University of Manchester (GB)
Affordable and clean energy
Openalex Percentile: Top 89%
Neural Networks Stability and Synchronization
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Input-to-State Stability of Nonlinear Time-Delay Coupled Systems on Networks With Delay-Dependent Impulses — Hongxiao Hu, Liguang Xu, et al. · IEEE Transactions on Control of Network Systems (2025) | TGRS Research Map | TGRS