In this article, the adaptive finite‐time fault‐tolerant control problem is considered for a class of switched nonlinear systems in nonstrict‐feedback form with actuator fault. The problem of finite‐time fault‐tolerant control is solved by introducing a finite‐time performance function. Meanwhile, the completely unknown nonlinear functions exist in the switched system are identified by the neural networks. Based on the common Lyapunov function method with adaptive backstepping technique, the finite‐time fault‐tolerant controller is designed. The proposed control strategy can guarantee that the tracking error converges to a prescribed zone at a finite‐time and all system variables remain semiglobally practical finite‐time stable. Numerical examples are offered to verify the feasibility of the theoretical result.

中文翻译：

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开关非线性系统的基于神经网络的自适应有限时规定性能容错控制

在本文中，针对具有执行器故障的非严格反馈形式的一类切换非线性系统，考虑了自适应有限时容错控制问题。通过引入有限时间性能函数解决了有限时间容错控制的问题。同时，通过神经网络识别开关系统中存在的完全未知的非线性函数。基于通用的Lyapunov函数方法和自适应反步技术，设计了有限时间容错控制器。所提出的控制策略可以保证跟踪误差在有限时间内收敛到规定的区域，并且所有系统变量都保持半全局实用的有限时间稳定。数值算例验证了理论结果的可行性。