Finite-time bounded asynchronous sliding-mode control for T-S fuzzy time-delay systems via event-triggered scheme

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

Fuzzy Sets and Systems Pub Date : 2025-04-11 DOI:10.1016/j.fss.2025.109400

Guiling Li , Chen Peng , Zhiru Cao

{"title":"Finite-time bounded asynchronous sliding-mode control for T-S fuzzy time-delay systems via event-triggered scheme","authors":"Guiling Li , Chen Peng , Zhiru Cao","doi":"10.1016/j.fss.2025.109400","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the finite-time bounded sliding mode control problem of networked T-S fuzzy time-delay systems by utilizing the event-triggered scheme. The input matrices in the networked control systems under consideration are different. First, based on the designed integral sliding mode function, a novel finite-time asynchronous fuzzy sliding mode controller is constructed for T-S fuzzy time-delay systems (TSFTDSs) to realize the reachability of the sliding mode manifold within a specified finite time. Second, by using the asynchronous premise reconstruction approach, new unified networked closed-loop systems with the matched uncertainty and external disturbance are presented. Third, different from the asymptotic stability discussed in other articles, the finite-time boundedness of the state trajectories in the closed-loop systems throughout the entire motion process can be guaranteed and the controller gains are obtained. Finally, the superiority and effectiveness of the derived results are verified through two simulation examples.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"514 ","pages":"Article 109400"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Sets and Systems","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165011425001393","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}

引用次数: 0

Abstract

This paper investigates the finite-time bounded sliding mode control problem of networked T-S fuzzy time-delay systems by utilizing the event-triggered scheme. The input matrices in the networked control systems under consideration are different. First, based on the designed integral sliding mode function, a novel finite-time asynchronous fuzzy sliding mode controller is constructed for T-S fuzzy time-delay systems (TSFTDSs) to realize the reachability of the sliding mode manifold within a specified finite time. Second, by using the asynchronous premise reconstruction approach, new unified networked closed-loop systems with the matched uncertainty and external disturbance are presented. Third, different from the asymptotic stability discussed in other articles, the finite-time boundedness of the state trajectories in the closed-loop systems throughout the entire motion process can be guaranteed and the controller gains are obtained. Finally, the superiority and effectiveness of the derived results are verified through two simulation examples.

查看原文本刊更多论文

通过事件触发方案实现 T-S 模糊时延系统的有限时间有界异步滑模控制

本文利用事件触发方案研究了网络化 T-S 模糊时延系统的有限时间有界滑模控制问题。所考虑的网络控制系统的输入矩阵各不相同。首先，基于所设计的积分滑模函数，为 T-S 模糊时延系统（TSFTDS）构建了一种新型的有限时间异步模糊滑模控制器，以实现在指定的有限时间内达到滑模流形的可及性。其次，利用异步前提重构方法，提出了具有匹配不确定性和外部扰动的新型统一网络闭环系统。第三，与其他文章讨论的渐近稳定性不同，闭环系统在整个运动过程中的状态轨迹的有限时间有界性可以得到保证，并得到控制器增益。最后，通过两个仿真实例验证了推导结果的优越性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.