Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis
Wei, Qinglai1; Liu, Derong2; Lin, Qiao1
2017-11-01
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷号28期号:11页码:2490-2502
文章类型Article
摘要In this paper, a novel local value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon optimal control problems for discrete-time nonlinear systems. The focuses of this paper are to study admissibility properties and the termination criteria of discrete-time local value iteration ADP algorithms. In the discrete-time local value iteration ADP algorithm, the iterative value functions and the iterative control laws are both updated in a given subset of the state space in each iteration, instead of the whole state space. For the first time, admissibility properties of iterative control laws are analyzed for the local value iteration ADP algorithm. New termination criteria are established, which terminate the iterative local ADP algorithm with an admissible approximate optimal control law. Finally, simulation results are given to illustrate the performance of the developed algorithm.
关键词Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Local Iteration Neural Networks Neurodynamic Programming Nonlinear Systems Optimal Control
WOS标题词Science & Technology ; Technology
DOI10.1109/TNNLS.2016.2593743
关键词[WOS]OPTIMAL TRACKING CONTROL ; ZERO-SUM GAME ; NONLINEAR-SYSTEMS ; FEEDBACK-CONTROL ; CONTROL SCHEME ; LEARNING CONTROL ; REINFORCEMENT ; ALGORITHM ; CONVERGENCE ; NETWORKS
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61233001 ; 61273140 ; 61374105 ; 61533017 ; U1501251)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000413403900003
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13631
专题复杂系统管理与控制国家重点实验室_平行控制
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Wei, Qinglai,Liu, Derong,Lin, Qiao. Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2017,28(11):2490-2502.
APA Wei, Qinglai,Liu, Derong,&Lin, Qiao.(2017).Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,28(11),2490-2502.
MLA Wei, Qinglai,et al."Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 28.11(2017):2490-2502.
条目包含的文件
条目无相关文件。
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
[Wei, Qinglai]的文章
[Liu, Derong]的文章
[Lin, Qiao]的文章
百度学术
百度学术中相似的文章
[Wei, Qinglai]的文章
[Liu, Derong]的文章
[Lin, Qiao]的文章
必应学术
必应学术中相似的文章
[Wei, Qinglai]的文章
[Liu, Derong]的文章
[Lin, Qiao]的文章
相关权益政策
暂无数据
收藏/分享
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。