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Neuro-optimal tracking control for a class of discrete-time nonlinear systems via generalized value iteration adaptive dynamic programming approach
Wei, Qinglai; Liu, Derong; Xu, Yancai; Qinglai Wei
Source PublicationSOFT COMPUTING
2016-02-01
Volume20Issue:2Pages:697-706
SubtypeArticle
AbstractIn this paper, a novel value iteration adaptive dynamic programming (ADP) algorithm, called "generalized value iteration ADP" algorithm, is developed to solve infinite horizon optimal tracking control problems for a class of discrete-time nonlinear systems. The developed generalized value iteration ADP algorithm permits an arbitrary positive semi-definite function to initialize it, which overcomes the disadvantage of traditional value iteration algorithms. Convergence property is developed to guarantee that the iterative performance index function will converge to the optimum. Neural networks are used to approximate the iterative performance index function and compute the iterative control policy, respectively, to implement the iterative ADP algorithm. Finally, a simulation example is given to illustrate the performance of the developed algorithm.
KeywordAdaptive Dynamic Programming Approximate Dynamic Programming Adaptive Critic Designs Optimal Control Neural Networks Nonlinear Systems Reinforcement Learning
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00500-014-1533-0
WOS KeywordCONTROL SCHEME ; LEARNING CONTROL ; CRITIC DESIGNS ; ALGORITHM ; REINFORCEMENT ; GAMES
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61034002 ; Beijing Natural Science Foundation(4132078) ; Fundamental Research Funds for the Central Universities(FRF-TP-14-119A2) ; Open Research Project from SKLMCCS(20120106) ; 61374105 ; 61233001 ; 61273140)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000372297200020
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11380
Collection复杂系统管理与控制国家重点实验室_平行控制
Corresponding AuthorQinglai Wei
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wei, Qinglai,Liu, Derong,Xu, Yancai,et al. Neuro-optimal tracking control for a class of discrete-time nonlinear systems via generalized value iteration adaptive dynamic programming approach[J]. SOFT COMPUTING,2016,20(2):697-706.
APA Wei, Qinglai,Liu, Derong,Xu, Yancai,&Qinglai Wei.(2016).Neuro-optimal tracking control for a class of discrete-time nonlinear systems via generalized value iteration adaptive dynamic programming approach.SOFT COMPUTING,20(2),697-706.
MLA Wei, Qinglai,et al."Neuro-optimal tracking control for a class of discrete-time nonlinear systems via generalized value iteration adaptive dynamic programming approach".SOFT COMPUTING 20.2(2016):697-706.
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