中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach

文献类型:期刊论文

作者Wang, Ding1; Liu, Derong1,2; Wei, Qinglai1
刊名NEUROCOMPUTING
出版日期2012-02-15
卷号78期号:1页码:14-22
关键词Adaptive critic designs Adaptive dynamic programming Approximate dynamic programming Finite-horizon optimal tracking control Learning control Neural networks Reinforcement learning
英文摘要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.
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]CRITIC DESIGNS ; CONTROL SCHEME ; NETWORKS ; REINFORCEMENT
收录类别SCI
语种英语
WOS记录号WOS:000298528200003
源URL[http://ir.ia.ac.cn/handle/173211/3873]  
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 Intelligent Control & Management Co, Beijing 100190, Peoples R China
2.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA
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.

入库方式: OAI收割

来源:自动化研究所

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