Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration

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	Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration
	Li, Chao; Liu, Derong; Li, Hongliang
发表期刊	IET CONTROL THEORY AND APPLICATIONS
	2015-08-06
卷号	9 期号:12 页码:1791-1801
文章类型	Article
摘要	In this study, a neural-network-based online learning algorithm is established to solve the finite horizon linear quadratic tracking (FHLQT) problem for partially unknown continuous-time systems. An augmented problem is constructed with an augmented state which consists of the system state and the reference trajectory. The authors obtain a solution for the augmented problem which is equivalent to the standard solution of the FHLQT problem. To solve the augmented problem with partially unknown system dynamics, they develop a time-varying Riccati equation. A critic neural network is used to approximate the value function and an online learning algorithm is established using the policy iteration technique to solve the time-varying Riccati equation. An integral policy iteration method and an online tuning law are used when the algorithm is implemented without the knowledge of the system drift dynamics and the command generator dynamics. A simulation example is given to show the effectiveness of the established algorithm.
关键词	Optimal Tracking Control
WOS标题词	Science & Technology ; Technology
关键词[WOS]	ADAPTIVE OPTIMAL-CONTROL ; DYNAMIC-PROGRAMMING ALGORITHM ; ZERO-SUM GAMES ; NONLINEAR-SYSTEMS ; DESIGN
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000358509800005
引用统计	被引频次：15[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/173211/8881
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	Li, Chao,Liu, Derong,Li, Hongliang. Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration[J]. IET CONTROL THEORY AND APPLICATIONS,2015,9(12):1791-1801.
APA	Li, Chao,Liu, Derong,&Li, Hongliang.(2015).Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration.IET CONTROL THEORY AND APPLICATIONS,9(12),1791-1801.
MLA	Li, Chao,et al."Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration".IET CONTROL THEORY AND APPLICATIONS 9.12(2015):1791-1801.

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