Distributed fuzzy adaptive fault-tolerant control with unknown time-varying power drift signals and asymmetric dead-zones

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Jiyu Zhu , Yadong Yang , Xuan Qiu , Tianping Zhang , Qikun Shen
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引用次数: 0

Abstract

In this study, we consider the distributed fuzzy fault-tolerant control (FTC) problem for a class of interconnected nonlinear systems with multiple unknown time-varying power drift signals, asymmetric actuator, and output dead-zones. Based on our proposed dead-zone models, an effective distributed finite-time adaptive FTC strategy is developed. In previous studies, the unknown system powers were assumed to be positive odd integers that are greater than or equal to one and their boundaries were also assumed to be positive odd integers, but we relax these assumptions, where the powers are assumed to be unknown time-varying bounded real functions and their boundaries are real constants, and not necessarily positive odd integers. In addition, the proposed output dead-zone approximation model can achieve full approximation within a limited adjustable range, rather than the asymptotic approximation found in previous studies. Theoretical analysis proves that the tracking error of each subsystem converges to a small neighborhood of the origin in finite time. Finally, a simulated coupled inverted pendulum example is presented to demonstrate the validity of the proposed FTC strategy.
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来源期刊
Fuzzy Sets and Systems
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.
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