Dynamic event‐triggered‐based decentralized fault‐tolerant control for interconnected nonlinear time‐delay systems with unknown control directions

IF 2.7 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control Pub Date : 2024-07-11 DOI:10.1002/asjc.3457

Qixia Shen, Wenshuai Lin, Liang Cao, Meng Zhao

引用次数: 0

Abstract

The dynamic event‐triggered decentralized adaptive fault‐tolerant control strategy is designed for nonlinear interconnected systems with time delay and unknown control directions. The dynamic event‐triggered control scheme where the threshold parameters related to measurement errors are dynamically adjusted by introducing adaptive laws into the control law appropriately increases the time interval for controller update. Then, the Nussbaum function and linear transformation are employed to handle the coupling problem caused by actuator faults and unknown control directions. Meanwhile, the Lyapunov–Krasovskii function is utilized to compensate the effect of time delay and guarantees that all closed‐loop signals are bounded. The errors converge into bounded compact sets around the origin. The validity of the presented scheme is verified via a simulation example.

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基于事件触发的动态分散容错控制，适用于控制方向未知的互联非线性时延系统

针对具有时间延迟和未知控制方向的非线性互连系统，设计了动态事件触发分散自适应容错控制策略。动态事件触发控制方案通过在控制法则中引入自适应法则来动态调整与测量误差相关的阈值参数，从而适当增加了控制器更新的时间间隔。然后，利用努斯鲍姆函数和线性变换来处理执行器故障和未知控制方向引起的耦合问题。同时，利用 Lyapunov-Krasovskii 函数补偿时间延迟的影响，并保证所有闭环信号都是有界的。误差收敛到原点周围的有界紧凑集。通过一个仿真实例验证了所提出方案的有效性。

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

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

CiteScore

4.80

自引率

25.00%

发文量

253

审稿时长

7.2 months

期刊介绍： The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.