基于异步隶属函数解耦的非线性系统事件触发模糊网络控制

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

Fuzzy Sets and Systems Pub Date : 2025-03-24 DOI:10.1016/j.fss.2025.109377

Wen-Bo Xie , Yong-Qi Wu , Shi-Qi Zheng , Yu-Long Wang

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引用次数: 0

摘要

研究了一类由T-S模糊形式模型描述的非线性网络控制系统的H∞鲁棒控制问题。为了提高网络资源利用率，采用了事件触发通信方案。通过设计一种异步隶属函数解耦方法，推导出一种新的模糊系统模型，从而在稳定性和鲁棒性分析过程中涉及到更多的隶属函数信息。基于Lyapunov Krasovskii泛函（LKF）方法，可以给出一系列凸稳定性和鲁棒性条件。最后，通过两个基准算例验证了所设计方法的有效性。

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Asynchronous membership functions decoupling based event-triggered fuzzy networked control for nonlinear systems

This paper focuses on the

H_{\infty}

robust control for a kind of nonlinear networked control systems depicted by T-S fuzzy form model. An event-triggered communication scheme is adopted to improve the utilization of network resources. A new fuzzy system model is derived by designing an asynchronous membership functions decoupling method, such that more information about the membership functions is involved in the process of stability and robustness analysis. Based on Lyapunov Krasovskii Functional (LKF) method, a series of convex stability and robustness conditions can be given. Finally, two benchmark examples are introduced to prove the effectiveness of the designed method.

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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.