Stability Analysis of Impulsive Stochastic Systems With Poisson Jumps and Regime Switching
ABSTRACT This paper is devoted to discussing the th‐moment input‐to‐state stability ( ‐ISS), th‐moment integral‐ISS ( ‐iISS), and th‐moment ‐ISS ( ‐ ‐ISS) for impulsive stochastic delayed differential system via the Lyapunov–Krasovskii functional and some analytical skills. For the fixed moment impulse, the results show that if the continuous dynamics is ‐ISS, then the system is ‐ISS with respect to a lower bound of the average impulsive interval. For the random moment impulse, the sufficient conditions are given to make the system ‐ISS when continuous dynamics is ‐ISS, and the intensity and density of random impulses are constrained at the same time. Furthermore, they qualitatively reveal the impact of delay, regime switching and random impulses on the system is ‐ISS. Finally, examples and numerical simulations are adopted to verify the validity of theoretical analysis.
Authors
- Daipeng Kuang (ORCID: https://orcid.org/0000-0003-2711-537X)
- Jianli Li (ORCID: https://orcid.org/0000-0002-9518-9832)
- Shuihong Xiao
Institutions
- Hunan Normal University (CN)
- Changsha University of Science and Technology (CN)
Publication Details
- Journal
- Mathematical Methods in the Applied Sciences
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1002/mma.10815
- Citations
- 2
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 2.97
Funders
- National Natural Science Foundation of China