Exponential stability of switched systems with state-dependent delayed impulses via B-equivalent method

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2024-08-28 DOI:10.1016/j.amc.2024.129031
Qian Cui , Jinde Cao , Lulu Li , Yang Liu
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Abstract

This paper studies the stability problem of switched systems with state-dependent delayed impulses (SDDIs), where switching times satisfy the definition of average dwell-time. Firstly, the pulse phenomenon of the systems with SDDIs is avoided under some necessary assumptions. Subsequently, the state-dependent delayed impulsive switched systems can be transformed into the corresponding time-dependent ones by using the B-equivalent method. Furthermore, the stability of stable and unstable systems with time-dependent delayed impulses (TDDIs) are analyzed, where the limitation that the impulsive delays are less than the impulsive intervals is relaxed. Based on the equivalence of the original system and the corresponding switched system with TDDIs, some new stability conditions for the switched systems with SDDIs are derived. Finally, the theoretical results are applied to a switched neural network with SDDIs to demonstrate the validity of the results.

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通过 B 等价法实现具有状态相关延迟脉冲的开关系统的指数稳定性
本文研究了具有状态相关延迟脉冲(SDDIs)的开关系统的稳定性问题,其中开关时间满足平均停留时间的定义。首先,在一些必要的假设条件下,避免了具有 SDDIs 的系统的脉冲现象。随后,利用 B 等价方法,可将状态相关延迟脉冲开关系统转化为相应的时间相关系统。此外,还分析了具有时变延迟脉冲(TDDIs)的稳定和不稳定系统的稳定性,其中放宽了脉冲延迟小于脉冲间隔的限制。根据原始系统和相应的带 TDDIs 的开关系统的等价性,推导出带 SDDIs 的开关系统的一些新的稳定性条件。最后,将理论结果应用于带 SDDIs 的开关神经网络,以证明结果的有效性。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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