Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability | |
Liu, Derong; Yan, Pengfei![]() ![]() | |
刊名 | INFORMATION SCIENCES
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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. |
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