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Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control
Luo, Biao1; Liu, Derong2; Wu, Huai-Ning3; Wang, Ding1; Lewis, Frank L.4,5
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
2017-10-01
Volume47Issue:10Pages:3341-3354
SubtypeArticle
AbstractThe 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.
KeywordAdaptive Control Adaptive Dynamic Programming (Adp) Data-based Off-policy Learning Optimal Control Policy Gradient
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TCYB.2016.2623859
WOS KeywordDISCRETE-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
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61233001 ; 61273140 ; 61304086 ; 61374105 ; 61503377 ; 61533017 ; 61473011 ; U1501251)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000409311800032
Citation statistics
Cited Times:21[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12527
Collection复杂系统管理与控制国家重点实验室_平行控制
Corresponding AuthorLuo, Biao
Affiliation1.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
Recommended Citation
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.
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