Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks

doi:10.1109/JAS.2020.1003225

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	Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks
	Haowei Lin; Bo Zhao; Derong Liu; Cesare Alippi
刊名	IEEE/CAA Journal of Automatica Sinica
	2020
卷号	7 期号:4 页码:954-964
关键词	Adaptive dynamic programming (ADP) critic neural network data-based fault tolerant control (FTC) particle swarm optimization (PSO)
ISSN号	2329-9266
DOI	10.1109/JAS.2020.1003225
英文摘要	In this paper, a data-based fault tolerant control (FTC) scheme is investigated for unknown continuous-time (CT) affine nonlinear systems with actuator faults. First, a neural network (NN) identifier based on particle swarm optimization (PSO) is constructed to model the unknown system dynamics. By utilizing the estimated system states, the particle swarm optimized critic neural network (PSOCNN) is employed to solve the Hamilton-Jacobi-Bellman equation (HJBE) more efficiently. Then, a data-based FTC scheme, which consists of the NN identifier and the fault compensator, is proposed to achieve actuator fault tolerance. The stability of the closed-loop system under actuator faults is guaranteed by the Lyapunov stability theorem. Finally, simulations are provided to demonstrate the effectiveness of the developed method.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/43004]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Haowei Lin,Bo Zhao,Derong Liu,et al. Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(4):954-964.
APA	Haowei Lin,Bo Zhao,Derong Liu,&Cesare Alippi.(2020).Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks.IEEE/CAA Journal of Automatica Sinica,7(4),954-964.
MLA	Haowei Lin,et al."Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks".IEEE/CAA Journal of Automatica Sinica 7.4(2020):954-964.