Event-triggered optimal fault-tolerant control for a class of uncertain strict-feedback nonlinear systems

IF 2.5 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

European Journal of Control Pub Date : 2025-04-09 DOI:10.1016/j.ejcon.2025.101228

Jing-Yu Guo , Li-Bing Wu

引用次数: 0

Abstract

This paper investigates the event-triggered optimal control for a class of strict-feedback nonlinear systems with actuator faults. With the help of identifier–critic–actor structure based on neural network, the difficulties posed by inherent nonlinearity of the Hamilton–Jacobi–Bellman (HJB) equation and unknown nonlinear dynamics are solved, a novel optimal control method is designed without using persistence excitation (PE) condition. By using the backstepping technique, the adaptive fault-tolerant control (FTC) and event-triggered control (ETC) schemes are co-designed. It is proved that all signals of the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB) and the Zeno-behavior is avoided. Simulation results verify the effectiveness of the method.

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一类不确定严格反馈非线性系统的事件触发最优容错控制

研究了一类具有执行器故障的严格反馈非线性系统的事件触发最优控制问题。利用基于神经网络的辨识器-临界-行动者结构，解决了Hamilton-Jacobi-Bellman （HJB）方程固有非线性和未知非线性动力学所带来的困难，设计了一种不使用持续激励（PE）条件的最优控制方法。采用回溯技术，设计了自适应容错控制（FTC）和事件触发控制（ETC）方案。证明了闭环系统的所有信号都是半全局一致最终有界的，并避免了芝诺行为。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

European Journal of Control 工程技术-自动化与控制系统

CiteScore

5.80

自引率

5.90%

发文量

131

审稿时长

1 months

期刊介绍： The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.