控制理论(社会学)
观察员(物理)
分类
控制器(灌溉)
计算机科学
有界函数
断层(地质)
理论(学习稳定性)
容错
Lyapunov稳定性
数学优化
数学
控制(管理)
算法
数学分析
分布式计算
物理
量子力学
人工智能
机器学习
地震学
农学
生物
地质学
作者
Yang Gu,Mouquan Shen,Choon Ki Ahn
摘要
Abstract This article presents a new dynamic triggering mechanism for fault‐tolerant control of linear systems. In this mechanism, the dynamic threshold is constructed by instantaneous and averaged triggering errors with its bounds. Consequently, it can be automatically adjusted between the bounds. A new intermediate observer is built in the proportional‐integral form to improve the estimation accuracy. The corresponding fault‐tolerant controller is explored to actively compensate unknown faults. By resorting to the Lyapunov stability theory, a sufficient condition is obtained in terms of linear matrix inequalities to make the closed‐loop system uniformly ultimately bounded with the required performance. The elitist nondominated sorting genetic algorithm version II (NSGA‐II) is adopted to realize the multiobjective optimization of the performance index and the allowable inter‐event time . Finally, the proposed scheme is verified with two simulation examples.
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