Improved reachable set synthesis and asynchronous quantized control for switched fuzzy systems under DoS attacks via dynamic event-triggered mechanism

IF 2.7 1区数学 Q2 COMPUTER SCIENCE, THEORY & METHODS

Fuzzy Sets and Systems Pub Date : 2025-08-18 DOI:10.1016/j.fss.2025.109567

Liang Zhang , Quanwei Yin , Ning Zhao , Yongchao Liu , Xinjun Wang

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引用次数: 0

Abstract

This paper aims to study the problem of reachable set (RS) synthesis and event-driven quantization mechanism design for Takagi-Sugeno fuzzy networked switched systems with time-varying delay under denial-of-service (DoS) attacks. Firstly, an improved resilient dynamic event-triggered strategy is proposed to effectively reduce the number of signal transmissions, and suppress the adverse effects of DoS attacks. Furthermore, the fuzzy asynchronous quantization controller is constructed to further reduce the update frequency of the actuator and prolong the service life. Concurrently, considering the DoS attacks and the systems behavior, several sufficient conditions for guaranteeing system performance are derived by constructing a new multi-segmented Lyapunov functional. Then, a novel boundary lemma is proposed to determine the boundary of RS. Finally, the effectiveness and applicability of the proposed method are validated through the networked nonlinear mass-spring model.

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基于动态事件触发机制的DoS攻击下切换模糊系统的改进可达集综合与异步量化控制

研究具有时变延迟的Takagi-Sugeno模糊网络交换系统在拒绝服务（DoS）攻击下的可达集综合和事件驱动量化机制设计问题。首先，提出了一种改进的弹性动态事件触发策略，有效减少了信号传输次数，抑制了DoS攻击的不利影响。在此基础上，构建了模糊异步量化控制器，进一步降低了执行器的更新频率，延长了执行器的使用寿命。同时，考虑到DoS攻击和系统行为，构造了一个新的多段Lyapunov泛函，得到了保证系统性能的几个充分条件。然后，提出了一种新的边界引理来确定RS的边界，最后通过网络非线性质量-弹簧模型验证了所提方法的有效性和适用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Fuzzy Sets and Systems 数学-计算机：理论方法

CiteScore

6.50

自引率

17.90%

发文量

321

审稿时长

6.1 months

期刊介绍： Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.