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A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm
Lin, Qiao1; Wei, Qinglai1; Liu, Derong2
Source PublicationINTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
2017
Volume48Issue:3Pages:525-534
SubtypeArticle
AbstractIn this paper, a novel iterative adaptive dynamic programming (ADP) algorithm, called generalised policy iteration ADP algorithm, is developed to solve optimal tracking control problems for discrete-time nonlinear systems. The idea is to use two iteration procedures, including an i-iteration and a j-iteration, to obtain the iterative tracking control laws and the iterative value functions. By system transformation, we first convert the optimal tracking control problem into an optimal regulation problem. Then the generalised policy iteration ADP algorithm, which is a general idea of interacting policy and value iteration algorithms, is introduced to deal with the optimal regulation problem. The convergence and optimality properties of the generalised policy iteration algorithm are analysed. Three neural networks are used to implement the developed algorithm. Finally, simulation examples are given to illustrate the performance of the present algorithm.
KeywordAdaptive Dynamic Programming Affine Nonlinear Systems Discrete-time Generalised Policy Iteration Neural Network Tracking Control
WOS HeadingsScience & Technology ; Technology
DOI10.1080/00207721.2016.1188177
WOS KeywordCRITIC DESIGNS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4132078) ; Early Career Development Award of SKLMCCS ; 61273140 ; 61304086 ; 61374105 ; 61533017)
WOS Research AreaAutomation & Control Systems ; Computer Science ; Operations Research & Management Science
WOS SubjectAutomation & Control Systems ; Computer Science, Theory & Methods ; Operations Research & Management Science
WOS IDWOS:000385940700008
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13331
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Lin, Qiao,Wei, Qinglai,Liu, Derong. A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE,2017,48(3):525-534.
APA Lin, Qiao,Wei, Qinglai,&Liu, Derong.(2017).A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm.INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE,48(3),525-534.
MLA Lin, Qiao,et al."A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm".INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 48.3(2017):525-534.
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