Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming
文献类型：期刊论文
| 作者 | Song, Ruizhuo1; Wei, Qinglai2 ; Sun, Qiuye3; Qinglai Wei
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2015-05-25 |
| 卷号 | 156页码:166-175 |
| 关键词 | Adaptive dynamic programming Approximate dynamic programming Adaptive critic designs Nonlinear systems Optimal control Time-delay |
| 英文摘要 | In this paper, a novel adaptive dynamic programming (ADP) algorithm is developed to solve the nearly optimal finite-horizon control problem for a class of deterministic nonaffine nonlinear time-delay systems. The idea is to use ADP technique to obtain the nearly optimal control which makes the optimal performance index function close to the greatest lower bound of all performance index functions within finite time. The proposed algorithm contains two cases with respective different initial iterations. In the first case, there exists control policy which makes arbitrary state of the system reach to zero in one time step. In the second case, there exists a control sequence which makes the system reach to zero in multiple time steps. The state updating is used to determine the optimal state. Convergence analysis of the performance index function is given. Furthermore, the relationship between the iteration steps and the length of the control sequence is presented. Two neural networks are used to approximate the performance index function and compute the optimal control policy for facilitating the implementation of ADP iteration algorithm. At last, two examples are used to demonstrate the effectiveness of the proposed ADP iteration algorithm. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | MULTIOBJECTIVE OPTIMAL-CONTROL ; MULTIPLE DELAYS ; LINEAR-SYSTEMS ; CONTROLLABILITY ; ALGORITHM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351978100020 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8124]  |
| 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 |
| 通讯作者 | Qinglai Wei |
| 作者单位 | 1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Ruizhuo,Wei, Qinglai,Sun, Qiuye,et al. Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming[J]. NEUROCOMPUTING,2015,156:166-175. |
| APA | Song, Ruizhuo,Wei, Qinglai,Sun, Qiuye,&Qinglai Wei.(2015).Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming.NEUROCOMPUTING,156,166-175. |
| MLA | Song, Ruizhuo,et al."Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming".NEUROCOMPUTING 156(2015):166-175. |
入库方式： OAI收割
来源：自动化研究所
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