首页> 外文期刊>International Journal of Innovative Computing Information and Control >ROBUST FAULT-TOLERANT CONTROL FOR FUZZY DELAY SYSTEMS WITH UNMEASURABLE PREMISE VARIABLES VIA UNCERTAIN SYSTEM APPROACH
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ROBUST FAULT-TOLERANT CONTROL FOR FUZZY DELAY SYSTEMS WITH UNMEASURABLE PREMISE VARIABLES VIA UNCERTAIN SYSTEM APPROACH

机译:具有不确定系统变量的模糊时滞系统的鲁棒容错控制

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摘要

This paper addresses the problem of fault estimation (FE) and fault-tolerant control (FTC) for a class of fuzzy systems with unmeasurable premise variables, random time delays, actuator faults and external disturbances, simultaneously. Firstly, by using improved delay partitioning approach, a robust adaptive FE observer under H_∞ constraint is constructed. Then, based on the online estimation information, a novel fuzzy dynamic output feedback controller with unmeasurable premise variables is designed to compensate for the impact of actuator faults by using uncertain system approach, while guaranteeing that the closed-loop system is stable with the prescribed H_∞ performance. Compared with the existing results, the proposed design scheme is with less conservative and a wilder application range. Finally, the simulation results show the effectiveness of the proposed approach.
机译:本文针对一类具有无法测量的前提变量,随机时间延迟,执行器故障和外部干扰的模糊系统,解决了故障估计(FE)和容错控制(FTC)问题。首先,通过使用改进的延迟划分方法,构造了一种在H_∞约束下的鲁棒自适应FE观测器。然后,基于在线估计信息,设计了一种具有不可测前提变量的新型模糊动态输出反馈控制器,通过不确定系统方法来补偿执行器故障的影响,同时保证闭环系统在规定的H_下稳定。 ∞性能。与现有结果相比,所提出的设计方案保守性较低,适用范围更广。最后,仿真结果表明了该方法的有效性。

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