Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control

doi:10.1109/TCYB.2016.2623859

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 平行控制

	Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control
	Luo, Biao1 ; Liu, Derong 2; Wu, Huai-Ning 3; Wang, Ding1 ; Lewis, Frank L.4,5
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2017-10-01
卷号	47 期号:10 页码:3341-3354
关键词	Adaptive Control Adaptive Dynamic Programming (Adp) Data-based Off-policy Learning Optimal Control Policy Gradient
DOI	10.1109/TCYB.2016.2623859
文献子类	Article
英文摘要	The model-free optimal control problem of general discrete-time nonlinear systems is considered in this paper, and a data-based policy gradient adaptive dynamic programming (PGADP) algorithm is developed to design an adaptive optimal controller method. By using offline and online data rather than the mathematical system model, the PGADP algorithm improves control policy with a gradient descent scheme. The convergence of the PGADP algorithm is proved by demonstrating that the constructed Q-function sequence converges to the optimal Q-function. Based on the PGADP algorithm, the adaptive control method is developed with an actor-critic structure and the method of weighted residuals. Its convergence properties are analyzed, where the approximate Q-function converges to its optimum. Computer simulation results demonstrate the effectiveness of the PGADP-based adaptive control method.
WOS关键词	DISCRETE-TIME-SYSTEMS ; H-INFINITY CONTROL ; SPATIALLY DISTRIBUTED PROCESSES ; AFFINE NONLINEAR-SYSTEMS ; OPTIMAL TRACKING CONTROL ; HORIZON OPTIMAL-CONTROL ; ZERO-SUM GAMES ; UNKNOWN DYNAMICS ; CONTROL DESIGN ; LINEAR-SYSTEMS
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000409311800032
资助机构	National Natural Science Foundation of China(61233001 ; 61273140 ; 61304086 ; 61374105 ; 61503377 ; 61533017 ; 61473011 ; U1501251)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/12527]
专题	复杂系统管理与控制国家重点实验室_平行控制
通讯作者	Luo, Biao
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 3.Beihang Univ, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China 4.Univ Texas Arlington, Res Inst, Ft Worth, TX 76118 USA 5.Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Luo, Biao,Liu, Derong,Wu, Huai-Ning,et al. Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(10):3341-3354.
APA	Luo, Biao,Liu, Derong,Wu, Huai-Ning,Wang, Ding,&Lewis, Frank L..(2017).Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control.IEEE TRANSACTIONS ON CYBERNETICS,47(10),3341-3354.
MLA	Luo, Biao,et al."Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control".IEEE TRANSACTIONS ON CYBERNETICS 47.10(2017):3341-3354.