Event-triggered fault-compensation-based fuzzy finite-time FTC for MIMO switched nonlinear systems

IF 3.5 2区数学 Q1 MATHEMATICS, APPLIED

Applied Mathematics and Computation Pub Date : 2025-02-10 DOI:10.1016/j.amc.2025.129316

Yingxue Hou , Yan-Jun Liu , Shaocheng Tong

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引用次数: 0

Abstract

This paper is devoted to solving the finite-time fault-tolerant tracking control problem based on event-triggered control (ETC) strategy for multi-input-multi-output (MIMO) switched nonlinear systems, which are simultaneously subject to unknown sensor and actuator faults. A switched state observer with fault estimation is designed to compensate unknown sensor fault parameter and unavailable states online, while fuzzy logic systems (FLSs) are employed to identify the uncertainties. The shortcoming of “explosion of complexity” is mitigated by fusing backstepping control and command filter. To trade off the communication resources and the system performance, a event-triggered finite-time fault-tolerant control (FTC) scheme with adaptive parameter compensation mechanism is developed, which can alleviate the impact of actuator and sensor faults by designing different parameter adaptive laws, and ensures all signals are semiglobal practical finite-time stable (SGPFS). Furthermore, a mass spring damper system is applied to verify the performance of the proposed control method.

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基于事件触发故障补偿的MIMO切换非线性系统模糊有限时间FTC

研究了多输入多输出（MIMO）切换非线性系统在传感器和执行器同时存在未知故障情况下，基于事件触发控制（ETC）策略的有限时间容错跟踪控制问题。设计了带故障估计的切换状态观测器在线补偿未知传感器故障参数和不可用状态，采用模糊逻辑系统对不确定性进行辨识。通过融合回溯控制和命令滤波，缓解了“复杂性爆炸”的缺点。为了权衡通信资源和系统性能，提出了一种具有自适应参数补偿机制的事件触发有限时间容错控制方案，该方案通过设计不同的参数自适应律来减轻执行器和传感器故障的影响，并保证所有信号都是半全局实际有限时间稳定的。最后，应用质量弹簧阻尼器系统验证了所提控制方法的性能。

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

Applied Mathematics and Computation 数学-应用数学

CiteScore

7.90

自引率

10.00%

发文量

755

审稿时长

36 days

期刊介绍： Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.