An adaptive neural network collaborative fault-tolerant controller design for non-Gaussian interconnected systems. Issue 13 (3rd October 2021)

• Record Type: Journal Article
• Authors: Ren, Yuwei; Fang, Yixian; Park, Ju H.
• Is Part Of: International journal of systems science. Volume 52:Issue 13(2021)
• Page Start: 2763
• Page End: 2776
• Publication Date: 2021-10-03
• Subjects: Stochastic distribution control system -- output probability distribution function -- adaptive neural networks -- collaborative fault-tolerant control; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2021.1904302
• Languages: English
• ISSNs: 0020-7721

Abstract

Abstract : 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.