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
2017
发表期刊INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
卷号48期号:3页码:525-534
文章类型Article
摘要In 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.
关键词Adaptive Dynamic Programming Affine Nonlinear Systems Discrete-time Generalised Policy Iteration Neural Network Tracking Control
WOS标题词Science & Technology ; Technology
DOI10.1080/00207721.2016.1188177
关键词[WOS]CRITIC DESIGNS
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4132078) ; Early Career Development Award of SKLMCCS ; 61273140 ; 61304086 ; 61374105 ; 61533017)
WOS研究方向Automation & Control Systems ; Computer Science ; Operations Research & Management Science
WOS类目Automation & Control Systems ; Computer Science, Theory & Methods ; Operations Research & Management Science
WOS记录号WOS:000385940700008
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13331
专题复杂系统管理与控制国家重点实验室_平行控制
作者单位1.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
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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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