Knowledge Commons of Institute of Automation,CAS
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach | |
Wang, Ding1; Liu, Derong1,2; Wei, Qinglai1 | |
发表期刊 | NEUROCOMPUTING |
2012-02-15 | |
卷号 | 78期号:1页码:14-22 |
文章类型 | Article |
摘要 | In this paper, a finite-horizon neuro-optimal tracking control strategy for a class of discrete-time nonlinear systems is proposed. Through system transformation, the optimal tracking problem is converted into designing a finite-horizon optimal regulator for the tracking error dynamics. Then, with convergence analysis in terms of cost function and control law, the iterative adaptive dynamic programming (ADP) algorithm via heuristic dynamic programming (HDP) technique is introduced to obtain the finite-horizon optimal tracking controller which makes the cost function close to its optimal value within an epsilon-error bound. Three neural networks are used as parametric structures to implement the algorithm, which aims at approximating the cost function, the control law, and the error dynamics, respectively. Two simulation examples are included to complement the theoretical discussions. (C) 2011 Elsevier B.V. All rights reserved. |
关键词 | Adaptive Critic Designs Adaptive Dynamic Programming Approximate Dynamic Programming Finite-horizon Optimal Tracking Control Learning Control Neural Networks Reinforcement Learning |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | CRITIC DESIGNS ; CONTROL SCHEME ; NETWORKS ; REINFORCEMENT |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000298528200003 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3873 |
专题 | 多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China 2.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang, Ding,Liu, Derong,Wei, Qinglai. Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach[J]. NEUROCOMPUTING,2012,78(1):14-22. |
APA | Wang, Ding,Liu, Derong,&Wei, Qinglai.(2012).Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach.NEUROCOMPUTING,78(1),14-22. |
MLA | Wang, Ding,et al."Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach".NEUROCOMPUTING 78.1(2012):14-22. |
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