Fully distributed pinning synchronization of coupled Takagi-Sugeno fuzzy neural networks with aperiodic intermittent communication

IF 3.2 1区数学 Q2 COMPUTER SCIENCE, THEORY & METHODS

Fuzzy Sets and Systems Pub Date : 2025-07-02 DOI:10.1016/j.fss.2025.109519

Dan Liu , Kaibo Shi , Xiaohong Cui , Kun Zhou , Binrui Wang

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引用次数: 0

Abstract

This article concentrates on the problem of pinning synchronization control for coupled fuzzy neural networks with aperiodic intermittent communication. To reduce the conservatism of traditional aperiodic intermittent communication schemes wherein the rest rate of each time subinterval is constrained, we introduce an average rest rate for the whole-time interval by using the concept of average dwell time. Subsequently, fully distributed pinning synchronization strategies with all-edges-based and partial-edges-based adaptive laws for coupling gains are proposed. The proposed synchronization strategies are independent of any global information, including the coupling configuration matrix and the number of coupling nodes. Within the fully distributed framework, the applicability of pinning synchronization strategies is enhanced, particularly for complex systems with large-scale and limited resources. Finally, a numerical simulation is performed to verify the validity of the derived schemes.

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具有非周期间歇通信的耦合Takagi-Sugeno模糊神经网络的全分布钉钉同步

研究了具有非周期间歇通信的耦合模糊神经网络的钉住同步控制问题。为了降低传统的非周期间歇通信方案中每个时间子区间的休息率受到约束的保守性，我们利用平均停留时间的概念引入了整个时间区间的平均休息率。随后，提出了基于全边和部分边的耦合增益自适应规律的全分布式钉住同步策略。所提出的同步策略不依赖于任何全局信息，包括耦合配置矩阵和耦合节点数。在完全分布式框架中，固定同步策略的适用性得到了增强，特别是对于具有大规模和有限资源的复杂系统。最后，通过数值仿真验证了所导出格式的有效性。

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.