A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm
文献类型：期刊论文
| 作者 | Lin, Qiao1 ; Wei, Qinglai1; Liu, Derong2
|
| 刊名 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
 |
| 出版日期 | 2017 |
| 卷号 | 48期号:3页码:525-534 |
| 关键词 | Adaptive Dynamic Programming Affine Nonlinear Systems Discrete-time Generalised Policy Iteration Neural Network Tracking Control |
| DOI | 10.1080/00207721.2016.1188177 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | CRITIC DESIGNS |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000385940700008 |
| 资助机构 | National Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4132078) ; Early Career Development Award of SKLMCCS ; 61273140 ; 61304086 ; 61374105 ; 61533017) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13331]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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