带执行器故障的刘振流混沌系统的自适应固定时间反同步和同步控制

IF 3.9 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Adaptive Control and Signal Processing Pub Date : 2024-03-31 DOI:10.1002/acs.3799

Huanqing Wang, Ge Chai, Shijia Kang

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引用次数: 0

摘要

摘要本文考虑了两个具有不确定参数的相同刘陈刘混沌系统的固定时间反同步和同步容错控制问题。借助定时稳定性理论和自适应反步进方法，我们提出了两种新型自适应控制器。在本文提出的控制方案中，采用了自适应反步进技术来处理混沌系统中的未知参数。此外，在控制器设计过程中，我们还采用了片断函数法来解决奇异性问题。所设计的控制器实现了两个相同的刘陈刘混沌系统在预设时间间隔内的反同步和同步。仿真结果表明了两个自适应控制器的有效性。

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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Adaptive fixed-time anti-synchronization and synchronization control for Liu-Chen-Liu chaotic systems with actuator faults

In this paper, the fixed-time anti-synchronization and synchronization fault-tolerant control problem is considered for two identical Liu-Chen-Liu chaotic systems with uncertain parameters. With the help of fixed-time stability theory and adaptive backstepping method, we propose two novel adaptive controllers. In the control scheme proposed in this paper, the adaptive backstepping technique is used to deal with the unknown parameters contained in the chaotic systems. Besides, the piecewise functional method is used to solve the singularity problem in the controller design process. The designed controllers achieve anti-synchronization and synchronization of two identical Liu-Chen-Liu chaotic systems within the preset time interval. Simulation results are conducted to show the effectiveness of two proposed adaptive controllers.

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来源期刊

International Journal of Adaptive Control and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.30

自引率

16.10%

发文量

163

审稿时长

5 months

期刊介绍： The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.