Wu Wei, Li Yongming, Tong Shaocheng
IEEE Trans Neural Netw Learn Syst. 2023 Aug;34(8):4728-4740. doi: 10.1109/TNNLS.2021.3117364. Epub 2023 Aug 4.
In this article, the distributed adaptive neural network (NN) consensus fault-tolerant control (FTC) problem is studied for nonstrict-feedback nonlinear multiagent systems (NMASs) subjected to intermittent actuator faults. The NNs are applied to approximate nonlinear functions, and a NN state-observer is developed to estimate the unmeasured states. Then, to compensate for the influence of intermittent actuator faults, a novel distributed output-feedback adaptive FTC is then designed by co-designing the last virtual controller, and the problem of "algebraic-loop" can be solved. The stability of the closed-loop system is proven by using the Lyapunov theory. Finally, the effectiveness of the proposed FTC approach is validated by numerical and practical examples.
本文研究了受间歇性执行器故障影响的非严格反馈非线性多智能体系统（NMASs）的分布式自适应神经网络（NN）一致性容错控制（FTC）问题。将神经网络应用于逼近非线性函数，并设计了一个神经网络状态观测器来估计不可测状态。然后，为了补偿间歇性执行器故障的影响，通过协同设计最后一个虚拟控制器，设计了一种新颖的分布式输出反馈自适应容错控制方法，并且可以解决“代数环”问题。利用李雅普诺夫理论证明了闭环系统的稳定性。最后，通过数值和实际例子验证了所提出的容错控制方法的有效性。
