Reachable set estimation for switched T-S fuzzy systems with a switching dynamic memory event-triggered mechanism

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

Fuzzy Sets and Systems Pub Date : 2024-06-17 DOI:10.1016/j.fss.2024.109050

Donghui Wu, Ying Zhao, Hong Sang, Shuanghe Yu

引用次数: 0

Abstract

The paper investigates the dynamic memory event-triggered reachable set (DMETRS) estimation problem for a class of switched Takagi-Sugeno fuzzy systems (ST-SFSs). A switching fuzzy dynamic memory event-triggered (SFDMET) mechanism is developed with a memory element inserted, which provides a lower communication frequency. Under the SFDMET rule, the controllers and switching command are constructed to force the reachable set estimation of the ST-SFSs. The reachable set estimation region is relevant to the SFDMET rule. In the end, the effectiveness of the proposed DMETRS estimation approach is validated through a room air regulating system.

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具有切换动态存储器事件触发机制的切换 T-S 模糊系统的可达集估计

本文研究了一类开关高木-菅野模糊系统（ST-SFS）的动态存储事件触发可达集（DMETRS）估计问题。该研究开发了一种开关模糊动态存储事件触发（SFDMET）机制，其中插入了一个存储元件，从而降低了通信频率。在 SFDMET 规则下，控制器和开关指令被构建为强制 ST-SFS 的可达集估计。可达集估计区域与 SFDMET 规则相关。最后，通过一个室内空气调节系统验证了所提出的 DMETRS 估算方法的有效性。

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.