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
被引频次:187[WOS]   [WOS记录]     [WOS相关记录]
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
[J-2012-Neucom] Fini(465KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Ding]的文章
[Liu, Derong]的文章
[Wei, Qinglai]的文章
百度学术
百度学术中相似的文章
[Wang, Ding]的文章
[Liu, Derong]的文章
[Wei, Qinglai]的文章
必应学术
必应学术中相似的文章
[Wang, Ding]的文章
[Liu, Derong]的文章
[Wei, Qinglai]的文章
相关权益政策
暂无数据
收藏/分享
文件名: [J-2012-Neucom] Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。