控制理论(社会学)
非线性系统
执行机构
计算机科学
有界函数
Lyapunov稳定性
观察员(物理)
李雅普诺夫函数
容错
自适应控制
数学
控制(管理)
人工智能
数学分析
分布式计算
物理
量子力学
作者
Xueqing Liu,Maoyin Chen,Li Sheng,Donghua Zhou
出处
期刊:Neurocomputing
[Elsevier BV]
日期:2022-04-30
卷期号:495: 75-85
被引量:39
标识
DOI:10.1016/j.neucom.2022.04.129
摘要
In this paper, an adaptive fault-tolerant control (FTC) strategy is proposed for a class of high-order fully-actuated (HOFA) systems. A pre-closed-loop treatment is presented to simplify the observer design for the nonlinear system with actuator faults but it leads to a new problem that faults may not satisfy the observation matching conditions. Thus, an intermediate variable observer is introduced to adaptively estimate system states and actuator faults simultaneously. Then the influence of observation errors on system stability is analyzed by analyzing matrix singular value perturbation. Under the proposed adaptive FTC method, the closed-loop global uniformly ultimately bounded stability is achieved by Lyapunov synthesis. Finally, the effectiveness of the proposed FTC method is verified by simulations.
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