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An adaptive neural network collaborative fault-tolerant controller design for non-Gaussian interconnected systems
International Journal of Systems Science ( IF 4.9 ) Pub Date : 2021-03-23 , DOI: 10.1080/00207721.2021.1904302
Yuwei Ren 1 , Yixian Fang 2 , Ju H. Park 3
Affiliation  

Aiming at the sequential signal transmission for an interconnected control system with a non-Gaussian random distribution, we design an Adaptive Neural Network Collaborative Fault-Tolerant Controller (ANN-CFTC). ANN-CFTC adopts adaptive neural networks to directly estimate the unknown couplings and faults. The collaborative fault-tolerant controller is designed by means of a fault-free subsystem to compensate for the fault. This design can better guarantee the stability of the overall system, not of a single subsystem. Simulation results demonstrate the effectiveness of the ANN-CFTC controller design.



中文翻译:

非高斯互联系统的自适应神经网络协同容错控制器设计

针对具有非高斯随机分布的互连控制系统的顺序信号传输,我们设计了一种自适应神经网络协作容错控制器(ANN-CFTC)。ANN-CFTC 采用自适应神经网络直接估计未知的耦合和故障。协同容错控制器通过无故障子系统设计来补偿故障。这种设计可以更好地保证整个系统的稳定性,而不是单个子系统的稳定性。仿真结果证明了 ANN-CFTC 控制器设计的有效性。

更新日期:2021-03-23
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