Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability

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	Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability
	Liu, Derong; Yan, Pengfei; Wei, Qinglai
刊名	INFORMATION SCIENCES
	2014-12-20
卷号	288 页码:314-329
关键词	Controllability Observability Discrete-time linear system Data-based method Noisy environment
英文摘要	In this paper, a data-based method is developed for analyzing the controllability and observability of discrete-time linear systems in noisy environment. This method uses measured data to estimate the controllability matrix and the observability matrix without identifying system models. The unbiasedness and consistency of this estimate with measurement noise and system noise are proven, respectively. As the estimated error of system parameters will not accumulate in calculating the controllability matrix and observability matrix, this method has a higher precision than traditional methods, especially in high-dimensional state space. In the simulation, the advantages of the data-based method in accuracy and convergence are illustrated. (C) 2014 Elsevier Inc. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Information Systems
研究领域[WOS]	Computer Science
关键词[WOS]	NEURAL NETWORKS ; CONTROL DESIGN
收录类别	SCI
语种	英语
WOS记录号	WOS:000343345500019
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3852]
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	Liu, Derong,Yan, Pengfei,Wei, Qinglai. Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability[J]. INFORMATION SCIENCES,2014,288:314-329.
APA	Liu, Derong,Yan, Pengfei,&Wei, Qinglai.(2014).Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability.INFORMATION SCIENCES,288,314-329.
MLA	Liu, Derong,et al."Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability".INFORMATION SCIENCES 288(2014):314-329.