| 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 Publication | SOFT COMPUTING
 |
| 2016-02-01 | |
| Volume | 20Issue:2Pages:697-706 |
| Subtype | Article |
| Abstract | In 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. |
| Keyword | Adaptive Dynamic Programming Approximate Dynamic Programming Adaptive Critic Designs Optimal Control Neural Networks Nonlinear Systems Reinforcement Learning |
| WOS Headings | Science & Technology ; Technology |
| DOI | 10.1007/s00500-014-1533-0 |
| WOS Keyword | CONTROL SCHEME ; LEARNING CONTROL ; CRITIC DESIGNS ; ALGORITHM ; REINFORCEMENT ; GAMES |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National 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 Area | Computer Science |
| WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications |
| WOS ID | WOS:000372297200020 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://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 Author | Qinglai Wei |
| Affiliation | Chinese 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. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| 2016_SOCO_Neuro-opti（790KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment