An iterative is an element of-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state
Wei, Qinglai; Liu, Derong; Derong Liu
发表期刊NEURAL NETWORKS
2012-08-01
卷号32期号:x页码:236-244
文章类型Article
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.
关键词Adaptive Dynamic Programming Approximate Dynamic Programming Is An Element Of-optimal Control Finite Horizon Neural Networks
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
关键词[WOS]ADAPTIVE CRITIC DESIGNS ; H-INFINITY CONTROL ; ZERO-SUM GAMES
收录类别SCI
语种英语
WOS研究方向Computer Science ; Neurosciences & Neurology
WOS类目Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号WOS:000306162600026
引用统计
被引频次:76[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/173211/3865
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
通讯作者Derong Liu
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
第一作者单位中国科学院自动化研究所
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Wei, Qinglai,Liu, Derong,Derong Liu. 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(x):236-244.
APA Wei, Qinglai,Liu, Derong,&Derong Liu.(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(x),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.x(2012):236-244.
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