控制理论(社会学)
非线性系统
反推
李雅普诺夫函数
容错
计算机科学
饱和(图论)
有界函数
自适应控制
数学
控制(管理)
人工智能
分布式计算
数学分析
物理
量子力学
组合数学
作者
Hongjing Liang,Guangliang Liu,Tingwen Huang,Hak‐Keung Lam,Bohui Wang
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-03-01
卷期号:52 (3): 1362-1372
被引量:52
标识
DOI:10.1109/tsmc.2020.3020188
摘要
This article addresses the cooperative fault-tolerant control problem for networks of stochastic nonlinear systems with actuator faults and input saturation. The fuzzy neural networks (FNNs) are employed to estimate the unknown functions and stochastic disturbance terms. To analyze the nondifferential saturation nonlinearity, a smooth nonlinear function of the control input signal is constructed to estimate the saturation function. A novel adaptive fault-tolerant control protocol is proposed by using backstepping design technique. By using the stochastic Lyapunov functional strategy, it is proved that all the followers’ outputs eventually converge to a small neighborhood of the leader’s output, and all the signals in the closed-loop systems are bounded in probability. Finally, the performance of the proposed control strategy is illustrated through simulation.
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