Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints

doi:10.1109/JAS.2020.1003063

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	Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints
	Xiong Yang; Bo Zhao
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2020
卷号	7 期号:2 页码:575-583
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.
关键词	Adaptive critic designs (ACDs) asymmetric input constraint critic neural network (CNN) nonlinear systems optimal control reinforcement learning (RL)
DOI	10.1109/JAS.2020.1003063
引用统计	被引频次：31[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42966
专题	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.

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