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Fault Estimation and Fault-Tolerant Control for Switched Fuzzy Stochastic Systems
IEEE Transactions on Fuzzy Systems ( IF 10.7 ) Pub Date : 1-30-2018 , DOI: 10.1109/tfuzz.2018.2799171
Jian Han , Huaguang Zhang , Yingchun Wang , Kun Zhang

This paper addresses the problems of fault estimation and fault-tolerant control for switched fuzzy stochastic systems with actuator fault and sensor fault. A novel observer is proposed to estimate the system states, actuator, and sensor faults, simultaneously. The proposed observer can be treated as an extension of the traditional proportional-integral observer. The estimation information is utilized to design the fault-tolerant controller. Based on the piecewise Lyapunov function and the average dwell time, a set of linear matrix inequalities can be achieved, which ensure that the closed-loop system is mean-square exponentially stable with a weighted H∞ performance level. At last, two simulation examples are provided to illustrate the effectiveness of the proposed approach.

中文翻译:


切换模糊随机系统的故障估计和容错控制



本文解决了具有执行器故障和传感器故障的切换模糊随机系统的故障估计和容错控制问题。提出了一种新颖的观测器来同时估计系统状态、执行器和传感器故障。所提出的观测器可以被视为传统比例积分观测器的扩展。估计信息用于设计容错控制器。基于分段Lyapunov函数和平均驻留时间,可以得到一组线性矩阵不等式,这确保闭环系统在加权H∞性能水平下均方指数稳定。最后,提供了两个仿真例子来说明该方法的有效性。
更新日期:2024-08-22
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