Predefined time switching event-triggered control for nonaffine nonlinear systems with periodic actuator faults and full-state error constraints

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

Fuzzy Sets and Systems Pub Date : 2025-05-15 DOI:10.1016/j.fss.2025.109456

Yang Wu, Lianjun Hu, Qi Chen, Cheng Zhu, Xiaopei Liu, Yong Zhang, Libing Wu

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引用次数: 0

Abstract

This paper focuses on the problem of predefined time switching event-triggered control for nonaffine nonlinear systems with periodic actuator faults and full-state error constraints. Compared with existing works, this paper applies the predefined time control method to nonaffine nonlinear systems with actuator faults, event-triggered input and state constraints for first time. In the iterative process, fuzzy logic system is employed in approximating unknown virtual controller, making it contains only one item, which greatly reduces its complexity. Besides, an improved switching event-triggered strategy is designed so that the controller can ensure good tracking effect, while reducing the triggering number as much as possible. By Lyapunov stability analyses, it is attested that the studied control method can guarantee the closed-loop system is practical predefined time stable and the state error can converge to prescribed performance bound within the predefined time. In the end, the effectiveness of the method is confirmed through the simulation results.

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具有执行器周期性故障和全状态误差约束的非仿射非线性系统的预定义时间切换事件触发控制

研究了具有执行器周期性故障和全状态误差约束的非仿射非线性系统的预定义时间切换事件触发控制问题。与已有工作相比，本文首次将预定义时间控制方法应用于具有执行器故障、事件触发输入和状态约束的非仿射非线性系统。在迭代过程中，模糊逻辑系统用于逼近未知虚拟控制器，使其只包含一个项目，大大降低了其复杂性。此外，设计了改进的切换事件触发策略，使控制器在保证良好跟踪效果的同时，尽可能减少触发次数。通过Lyapunov稳定性分析，证明了所研究的控制方法能够保证闭环系统具有实际的预定义时间稳定性，并且状态误差能够在预定义时间内收敛到规定的性能界。最后，通过仿真结果验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.