Stability of nonlinear systems with multi-delayed random impulses: Average estimation and delay approach

This study focuses on analyzing the exponential stability in the pth moment for a class of random impulsive delayed nonlinear systems (RIDNSs) influenced by multiple randomly delayed impulses. The underlying continuous-time dynamics are governed by random delay differential equations subjected to stochastic perturbations modeled as second-order moment processes. To establish new stability conditions, we employ tools such as the average random impulsive estimation (ARIE), average impulsive delay (AID), average delay time (ADT), and Lyapunov-based techniques. The developed criteria are applicable not only to inherently stable or unstable systems, but also to scenarios where impulses with stabilizing and destabilizing effects appear simultaneously. Several illustrative examples are included to verify the applicability and advantages of the proposed approach.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025982
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76
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article

Stability of nonlinear systems with multi-delayed random impulses: Average estimation and delay approach

Quanxin Zhu, Yao Lu, Dehao Ruan
2 citations
AIMS Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Stability of nonlinear systems with multi-delayed random impulses: Average estimation and delay approach

Quanxin Zhu, Yao Lu, Dehao Ruan
article en
2 citations

Abstract

This study focuses on analyzing the exponential stability in the pth moment for a class of random impulsive delayed nonlinear systems (RIDNSs) influenced by multiple randomly delayed impulses. The underlying continuous-time dynamics are governed by random delay differential equations subjected to stochastic perturbations modeled as second-order moment processes. To establish new stability conditions, we employ tools such as the average random impulsive estimation (ARIE), average impulsive delay (AID), average delay time (ADT), and Lyapunov-based techniques. The developed criteria are applicable not only to inherently stable or unstable systems, but also to scenarios where impulses with stabilizing and destabilizing effects appear simultaneously. Several illustrative examples are included to verify the applicability and advantages of the proposed approach.

AIMS MathematicsVol. 10(9)
Hunan Normal University (CN), Guangdong Polytechnic Normal University (CN)
Openalex Percentile: Top 6%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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Stability of nonlinear systems with multi-delayed random impulses: Average estimation and delay approach — Quanxin Zhu, Yao Lu, et al. · AIMS Mathematics (2025) | TGRS Research Map | TGRS