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
刊名	NEUROCOMPUTING
	2014-02-11
卷号	125 页码:46-56
关键词	Adaptive dynamic programming Convergence analysis Heuristic dynamic programming Neural networks Optimal tracking control Reinforcement learning
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	ADAPTIVE CRITIC DESIGNS ; REINFORCEMENT ; INTELLIGENCE ; NEUROCONTROL ; CONVERGENCE ; PROOF
收录类别	SCI
语种	英语
WOS记录号	WOS:000328710200009
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3868]
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
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.