中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An iterative is an element of-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state

文献类型:期刊论文

作者Wei, Qinglai; Liu, Derong
刊名NEURAL NETWORKS
出版日期2012-08-01
卷号32页码:236-244
关键词Adaptive dynamic programming Approximate dynamic programming is an element of-optimal control Finite horizon Neural networks
英文摘要In this paper, a finite horizon iterative adaptive dynamic programming (ADP) algorithm is proposed to solve the optimal control problem for a class of discrete-time nonlinear systems with unfixed initial state. A new is an element of-optimal control algorithm based on the iterative ADP approach is proposed that makes the performance index function iteratively converge to the greatest lower bound of all performance indices within an error is an element of in finite time. The convergence analysis of the proposed ADP algorithm in terms of performance index function and control policy is conducted. The optimal number of control steps can also be obtained by the proposed is an element of-optimal control algorithm for the unfixed initial state. Neural networks are used to approximate the performance index function, and compute the optimal control policy, respectively, for facilitating the implementation of the is an element of-optimal control algorithm. Finally, a simulation example is given to show the effectiveness of the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
类目[WOS]Computer Science, Artificial Intelligence ; Neurosciences
研究领域[WOS]Computer Science ; Neurosciences & Neurology
关键词[WOS]ADAPTIVE CRITIC DESIGNS ; H-INFINITY CONTROL ; ZERO-SUM GAMES
收录类别SCI
语种英语
WOS记录号WOS:000306162600026
源URL[http://ir.ia.ac.cn/handle/173211/3865]  
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Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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GB/T 7714
Wei, Qinglai,Liu, Derong. An iterative is an element of-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state[J]. NEURAL NETWORKS,2012,32:236-244.
APA Wei, Qinglai,&Liu, Derong.(2012).An iterative is an element of-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state.NEURAL NETWORKS,32,236-244.
MLA Wei, Qinglai,et al."An iterative is an element of-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state".NEURAL NETWORKS 32(2012):236-244.

入库方式: OAI收割

来源:自动化研究所

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