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
刊名	IET CONTROL THEORY AND APPLICATIONS
	2015-08-06
卷号	9 期号:12 页码:1791-1801
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
研究领域[WOS]	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
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记录号	WOS:000358509800005
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8881]
专题	复杂系统管理与控制国家重点实验室_平行控制
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	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.