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.
Authors
- Hongxiao Hu (ORCID: https://orcid.org/0000-0003-4196-2508)
- Liguang Xu (ORCID: https://orcid.org/0000-0002-5003-2583)
- Zhengtao Ding (ORCID: https://orcid.org/0000-0003-0690-7853)
- Yang Hong (ORCID: https://orcid.org/0009-0003-1687-7333)
Institutions
- University of Shanghai for Science and Technology (CN)
- University of Manchester (GB)
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
- Type
- article
- Field-Weighted Citation Impact
- 0.00