Adaptive dynamic event-triggered fault tolerant control for uncertain strict-feedback nonlinear systems

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Junwen Xiao, Yongchao Liu, Yaxin An
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引用次数: 0

Abstract

In this paper, a dynamic event-triggered mechanism (DETM) is designed for uncertain strict-feedback nonlinear systems with an infinite number of actuator faults. An adaptive fault-tolerant control strategy is put forward to accommodate actuator faults. A dynamic variable is introduced into the event-triggered schedule to achieve dynamically regulated threshold parameters and the DETM is recursively established depending on the backstepping technique. The designed control law ensures that all signals of the system are uniformly bounded, and the tracking error converges to a compact set while avoiding Zeno behavior. An expository simulation example reveals the advantages of the presented method.

不确定严格反馈非线性系统的自适应动态事件触发容错控制
本文设计了一种动态事件触发机制 (DETM),用于具有无限多执行器故障的不确定严格反馈非线性系统。本文提出了一种自适应容错控制策略,以适应执行器故障。在事件触发时间表中引入了一个动态变量,以实现动态调节阈值参数,并根据反步进技术递归建立 DETM。所设计的控制法则确保系统的所有信号都是均匀有界的,跟踪误差收敛到一个紧凑的集合,同时避免 Zeno 行为。一个说明性仿真实例揭示了所提出方法的优势。
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
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.
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