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Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis

文献类型：期刊论文

作者Wei, Qinglai1; Liu, Derong2; Lin, Qiao1
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
出版日期2017-11-01
卷号28期号:11页码:2490-2502
关键词Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Local Iteration Neural Networks Neurodynamic Programming Nonlinear Systems Optimal Control
DOI10.1109/TNNLS.2016.2593743
文献子类Article
英文摘要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.
WOS关键词OPTIMAL TRACKING CONTROL ; ZERO-SUM GAME ; NONLINEAR-SYSTEMS ; FEEDBACK-CONTROL ; CONTROL SCHEME ; LEARNING CONTROL ; REINFORCEMENT ; ALGORITHM ; CONVERGENCE ; NETWORKS
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000413403900003
资助机构National Natural Science Foundation of China(61233001 ; 61273140 ; 61374105 ; 61533017 ; U1501251)
源URL[http://ir.ia.ac.cn/handle/173211/13631]  
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 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.

入库方式： OAI收割

来源：自动化研究所

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