Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints
文献类型:期刊论文
作者 | Xiong Yang![]() ![]() |
刊名 | IEEE/CAA Journal of Automatica Sinica
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出版日期 | 2020 |
卷号 | 7期号:2页码:575-583 |
关键词 | Adaptive critic designs (ACDs) asymmetric input constraint critic neural network (CNN) nonlinear systems optimal control reinforcement learning (RL) |
ISSN号 | 2329-9266 |
DOI | 10.1109/JAS.2020.1003063 |
英文摘要 | In this paper, we present an optimal neuro-control scheme for continuous-time (CT) nonlinear systems with asymmetric input constraints. Initially, we introduce a discounted cost function for the CT nonlinear systems in order to handle the asymmetric input constraints. Then, we develop a Hamilton-Jacobi-Bellman equation (HJBE), which arises in the discounted cost optimal control problem. To obtain the optimal neurocontroller, we utilize a critic neural network (CNN) to solve the HJBE under the framework of reinforcement learning. The CNN’s weight vector is tuned via the gradient descent approach. Based on the Lyapunov method, we prove that uniform ultimate boundedness of the CNN’s weight vector and the closed-loop system is guaranteed. Finally, we verify the effectiveness of the present optimal neuro-control strategy through performing simulations of two examples. |
源URL | [http://ir.ia.ac.cn/handle/173211/42966] ![]() |
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 | Xiong Yang,Bo Zhao. Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(2):575-583. |
APA | Xiong Yang,&Bo Zhao.(2020).Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints.IEEE/CAA Journal of Automatica Sinica,7(2),575-583. |
MLA | Xiong Yang,et al."Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints".IEEE/CAA Journal of Automatica Sinica 7.2(2020):575-583. |
入库方式: OAI收割
来源:自动化研究所
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