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带有网络故障的混沌系统自适应滑模容错控制

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  • 1.青岛大学自动化学院,山东 青岛 266071;
    2.山东明源智能装备股份有限公司,山东 枣庄 277400;
    3.山东科技大学电气与自动化工程学院,山东 青岛 266590
罗孙逍宇(2000),男,湖北襄阳人,硕士研究生,主要研究方向为自适应最优控制。

收稿日期: 2023-10-06

  修回日期: 2023-11-27

基金资助

山东省博士后创新人才支持计划(SDBX2022014);山东省自然科学基金(ZR2023QF017,ZR2022QF057,ZR2022LZH001,ZR2024MF138);国家自然科学基金(62303284、62273213);青岛市科技计划青年项目(2321124zyydjch);博士后基金(ZXQT20220610001);山东省高校青年创新科技计划(2022KJ301)

Adaptive Sliding Mode Fault-tolerant Control for Chaotic Systems with Network Faults

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  • 1. College of Automation, Qingdao University, Qingdao 266071, China;
    2. Shandong Mingyuan Intelligent Equipment Co, LTD, Zaozhuang 277400, China;
    3. College of Electrical Engineering and Automation, Shandong University of Science and Technology,Qingdao 266590, China

Received date: 2023-10-06

  Revised date: 2023-11-27

摘要

为了更好地解决对混沌系统的鲁棒容错控制和同步问题,针对一类具有信号衰减、网络退化、非线性耦合特性的混沌系统,提出了一种新的自适应滑模控制策略。以此为前提,提出一种用于混沌同步的积分滑动流形,进而设计了自适应律以估计控制增益,并利用更新后的控制增益和积分增益构造自适应滑模控制器。基于李雅普诺夫稳定性理论,证明了该控制器能保证带有故障和摄动耦合的混沌系统的渐近同步。通过仿真实验,验证了该方法的有效性和适用性,为混沌系统的鲁棒容错控制和同步问题的解决提供了新思路。

本文引用格式

罗孙逍宇, 朱柯欣, 陈天智, 赵福钰, 赵谅 . 带有网络故障的混沌系统自适应滑模容错控制[J]. 复杂系统与复杂性科学, 2025 , 22(4) : 154 -160 . DOI: 10.13306/j.1672-3813.2025.04.020

Abstract

A novel adaptive sliding mode control strategy is proposed for a class of chaotic systems with the signal attenuation, network degradation, and nonlinear coupling characteristics, to solve the problem of robust fault-tolerant control and synchronization of chaotic systems. An integral sliding manifold for chaotic synchronization is presented, and an adaptive law is designed to estimate the control gain, and the updated control gain and integral gain are used to construct an adaptive sliding mode controller. Based on the Lyapunov stability theory, it is proved that the designed controller can ensure the asymptotic synchronization of chaotic systems with faults and perturbed couplings. The effectiveness and applicability of the proposed method are verified by the numerical simulation, which provides a new idea for the robust fault-tolerant control and synchronization of chaotic systems.

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