Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm

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	Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm
	Huang, Yuzhu; Liu, Derong
发表期刊	NEUROCOMPUTING
	2014-02-11
卷号	125 页码:46-56
文章类型	Article
摘要	In this paper, an optimal tracking control scheme is proposed for a class of unknown discrete-time nonlinear systems using iterative adaptive dynamic programming (ADP) algorithm. First, in order to obtain the dynamics of the system, an identifier is constructed by a three-layer feedforward neural network (NN). Second, a feedforward neuro-controller is designed to get the desired control input of the system. Third, via system transformation, the original tracking problem is transformed into a regulation problem with respect to the state tracking error. Then, the iterative ADP algorithm based on heuristic dynamic programming is introduced to deal with the regulation problem with convergence analysis. In this scheme, feedforward NNs are used as parametric structures for facilitating the implementation of the iterative algorithm. Finally, simulation results are also presented to demonstrate the effectiveness of the proposed scheme. (C) 2013 Elsevier B.V. All rights reserved.
关键词	Adaptive Dynamic Programming Convergence Analysis Heuristic Dynamic Programming Neural Networks Optimal Tracking Control Reinforcement Learning
WOS标题词	Science & Technology ; Technology
关键词[WOS]	ADAPTIVE CRITIC DESIGNS ; REINFORCEMENT ; INTELLIGENCE ; NEUROCONTROL ; CONVERGENCE ; PROOF
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:000328710200009
引用统计	被引频次：81[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/173211/3868
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	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
推荐引用方式 GB/T 7714	Huang, Yuzhu,Liu, Derong. Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm[J]. NEUROCOMPUTING,2014,125:46-56.
APA	Huang, Yuzhu,&Liu, Derong.(2014).Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm.NEUROCOMPUTING,125,46-56.
MLA	Huang, Yuzhu,et al."Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm".NEUROCOMPUTING 125(2014):46-56.