Disturbance observer-based nonsingular fixed-time fuzzy adaptive event-triggered output feedback control of uncertain nonlinear systems

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Ming-Rui Liu , Li-Bing Wu , Huan-Qing Wang , Liang-Dong Guo , Sheng-Juan Huang
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引用次数: 0

Abstract

This article examines the fuzzy adaptive event-triggered output feedback control issue of eliminating fixed-time singularity for a type of uncertain nonlinear systems with disturbance observer structures. By introducing novel bounded time-varying functions (TVFs), a set of more general intermediate-variable-based disturbance observers (IVBDOs) is constructed. Combining the corresponding auxiliary reduced-power function and the quartic Lyapunov method, a co-design scheme for a fuzzy approximation high-order controller and an improved event-triggered mechanism with a judgment indicator threshold is proposed. Especially, the developed framework not only removes the singularity during the fixed-time design process but also further reduces the communication resources. By means of theoretical analysis, the devised solution achieves fixed-time stable control (FTSC) of the system and the tracking error converges to the desired neighborhood around the origin. After verifying the absence of Zeno behavior, the efficacy of the presented methodology is supported by two simulation examples.
不确定非线性系统的基于扰动观测器的非奇异固定时间模糊自适应事件触发输出反馈控制
本文研究了具有扰动观测器结构的一类不确定非线性系统消除固定时间奇异性的模糊自适应事件触发输出反馈控制问题。通过引入新颖的有界时变函数(TVF),构建了一套更通用的基于中间变量的扰动观测器(IVBDO)。结合相应的辅助减幂函数和四次方 Lyapunov 方法,提出了模糊逼近高阶控制器和带判断指标阈值的改进事件触发机制的协同设计方案。特别是,所开发的框架不仅消除了定时设计过程中的奇异性,还进一步减少了通信资源。通过理论分析,所设计的方案实现了系统的定时稳定控制(FTSC),跟踪误差收敛到了原点附近的理想邻域。在验证了不存在 Zeno 行为后,两个仿真实例证明了所提出方法的有效性。
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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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