{"title":"Membership function-dependent robust sliding mode fault-tolerant control for T-S fuzzy systems with disturbances: A preset sliding band scheme","authors":"Weiwei Tu","doi":"10.1016/j.fss.2026.109817","DOIUrl":null,"url":null,"abstract":"<div><div>In this article, the issue of robust sliding mode fault-tolerant control is investigated for Takagi-Sugeno (T-S) fuzzy systems in the presence of actuator failures and disturbances. With a modified barrier function as well as a membership function-dependent sliding variable exploited, a novel sliding mode control scheme is developed such that a fuzzy reduced-order sliding mode is established without reaching phase. In comparison with the state-of-the-art results, the findings features series of merits. First, the sliding mode controller is proposed via the property of a class of modified barrier functions, the responses of fuzzy systems are within a preset sliding band, in which the sliding mode cannot be lost even though in the occurrence of faulty modes. Second, more designs of degree are provided via the proposal for calibrating the upper boundaries of system trajectories. Third, upon a membership function-dependent sliding variable, a reduced-order sliding mode with parallel distribution compensation (PDC) control framework is derived, which are with less conservativeness results than the classic ones of reduced-order sliding mode. Finally, some examples for simulation are offered to confirm the theoretical schemes.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"533 ","pages":"Article 109817"},"PeriodicalIF":3.1000,"publicationDate":"2026-06-15","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/S0165011426000564","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/11 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, the issue of robust sliding mode fault-tolerant control is investigated for Takagi-Sugeno (T-S) fuzzy systems in the presence of actuator failures and disturbances. With a modified barrier function as well as a membership function-dependent sliding variable exploited, a novel sliding mode control scheme is developed such that a fuzzy reduced-order sliding mode is established without reaching phase. In comparison with the state-of-the-art results, the findings features series of merits. First, the sliding mode controller is proposed via the property of a class of modified barrier functions, the responses of fuzzy systems are within a preset sliding band, in which the sliding mode cannot be lost even though in the occurrence of faulty modes. Second, more designs of degree are provided via the proposal for calibrating the upper boundaries of system trajectories. Third, upon a membership function-dependent sliding variable, a reduced-order sliding mode with parallel distribution compensation (PDC) control framework is derived, which are with less conservativeness results than the classic ones of reduced-order sliding mode. Finally, some examples for simulation are offered to confirm the theoretical schemes.
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.