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.

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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

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article

Stability Analysis of Impulsive Stochastic Systems With Poisson Jumps and Regime Switching

Daipeng Kuang, Jianli Li, Shuihong Xiao
2 citations
Mathematical Methods in the Applied Sciences
Neural Networks Stability and Synchronization
2.97
article

Stability Analysis of Impulsive Stochastic Systems With Poisson Jumps and Regime Switching

Daipeng Kuang, Jianli Li, Shuihong Xiao
article en
2 citations

Abstract

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.

Mathematical Methods in the Applied SciencesVol. 48(9)
Hunan Normal University (CN), Changsha University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Neural Networks Stability and Synchronization
2.97
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