中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Recursive identification for EIV ARMAX systems

文献类型:期刊论文

作者Chen HanFu
刊名SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
出版日期2009-11-01
卷号52期号:11页码:1964-1972
关键词multivariate ARMAX errors-in-variables recursive identification convergence
ISSN号1009-2757
DOI10.1007/s11432-009-0195-5
英文摘要The input u(k) and output y(k) of the multivariate ARMAX system A(z)y(k) = B(z)u(k) + C(z)w(k) are observed with noises: u(k)(ob) (Delta) double under bar u(k) + epsilon(u)(k) and y(k)(ob) (Delta) double under bar y(k) + epsilon(y)(k), where epsilon(u)(k) and epsilon(y)(k) denote the observation noises. Such kind of systems are called errors-in-variables (EIV) systems. In the paper, recursive algorithms based on observations are proposed for estimating coefficients of A(z), B(z), C(z), and the covariance matrix R(w) of w(k) without requiring higher than the second order statistics. The algorithms are convenient for computation and are proved to converge to the system coefficients under reasonable conditions. An illustrative example is provided, and the simulation results are shown to be consistent with the theoretical analysis.
语种英语
WOS记录号WOS:000272033000003
出版者SCIENCE PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/8445]  
专题系统科学研究所
通讯作者Chen HanFu
作者单位Chinese Acad Sci, Key Lab Syst & Control, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
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GB/T 7714
Chen HanFu. Recursive identification for EIV ARMAX systems[J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,2009,52(11):1964-1972.
APA Chen HanFu.(2009).Recursive identification for EIV ARMAX systems.SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,52(11),1964-1972.
MLA Chen HanFu."Recursive identification for EIV ARMAX systems".SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 52.11(2009):1964-1972.

入库方式: OAI收割

来源:数学与系统科学研究院

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