Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control
Luo, Biao1; Liu, Derong2; Wu, Huai-Ning3; Wang, Ding1; Lewis, Frank L.4,5
2017-10-01
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
卷号47期号:10页码:3341-3354
文章类型Article
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.
关键词Adaptive Control Adaptive Dynamic Programming (Adp) Data-based Off-policy Learning Optimal Control Policy Gradient
WOS标题词Science & Technology ; Technology
DOI10.1109/TCYB.2016.2623859
关键词[WOS]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
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61233001 ; 61273140 ; 61304086 ; 61374105 ; 61503377 ; 61533017 ; 61473011 ; U1501251)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000409311800032
引用统计
被引频次:15[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/173211/12527
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
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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.
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