{"title":"Periodic event-triggered control for networked T-S fuzzy systems with packet losses and delays","authors":"Xiuxiu Zhang , Jumei Wei , Xun-Lin Zhu , Mouquan Shen , Jiuxiang Dong","doi":"10.1016/j.fss.2025.109503","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we address the problem of dynamic periodic event-triggered control (PETC) for networked Takagi-Sugeno (T-S) fuzzy systems subject to packet losses and transmission delays without acknowledgments. To save network resources efficiently, we adopt two independent and asynchronous event-triggering mechanisms (ETMs) on the sensor-controller (S-C) and controller-actuator (C-A) channels to determine whether the measurement output and control input need to be transmitted over the networks. Firstly, we introduce auxiliary variables and design appropriate jump rules to monitor the change process of the network-induced errors. Subsequently, we provide design conditions for the triggering function and dynamic variables of each trigger, and represent these conditions by using the locally available information of the corresponding trigger. Then, we propose a PETC strategy based on the emulation method, which can ensure the asymptotic stability of the system and only needs to check the triggering functions periodically. Finally, we give a numerical example to validate the feasibility and effectiveness of the theoretical results.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"518 ","pages":"Article 109503"},"PeriodicalIF":2.7000,"publicationDate":"2025-06-13","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/S0165011425002428","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
In this paper, we address the problem of dynamic periodic event-triggered control (PETC) for networked Takagi-Sugeno (T-S) fuzzy systems subject to packet losses and transmission delays without acknowledgments. To save network resources efficiently, we adopt two independent and asynchronous event-triggering mechanisms (ETMs) on the sensor-controller (S-C) and controller-actuator (C-A) channels to determine whether the measurement output and control input need to be transmitted over the networks. Firstly, we introduce auxiliary variables and design appropriate jump rules to monitor the change process of the network-induced errors. Subsequently, we provide design conditions for the triggering function and dynamic variables of each trigger, and represent these conditions by using the locally available information of the corresponding trigger. Then, we propose a PETC strategy based on the emulation method, which can ensure the asymptotic stability of the system and only needs to check the triggering functions periodically. Finally, we give a numerical example to validate the feasibility and effectiveness of the theoretical results.
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.