Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks
文献类型：期刊论文
| 作者 | Haowei Lin; Bo Zhao ; Derong Liu; Cesare Alippi
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 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. |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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