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Volumn 1, Issue , 2009, Pages 331-335

Data filtering based recursive least squares parameter estimation for ARMAX models

Author keywords

[No Author keywords available]

Indexed keywords

ARMAX MODELS; COVARIANCE MATRICES; DATA FILTERING; IDENTIFICATION MODELS; INFORMATION VECTORS; INPUT-OUTPUT DATUM; NOISE MODELS; NOISE TERMS; NOISE TRANSFER FUNCTIONS; RECURSIVE LEAST SQUARES; RECURSIVE LEAST SQUARES ALGORITHMS; RECURSIVE LEAST SQUARES METHODS; RLS ALGORITHMS; SYSTEM MODELS;

EID: 64549119770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CMC.2009.140     Document Type: Conference Paper
Times cited : (4)

References (10)
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  • 4
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  • 5
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    • (1995) Automatica , vol.31 , Issue.7 , pp. 1019-1024
    • Zheng, W.X.1
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    • Least-squares identification of a class of multivariable systems with correlated disturbances
    • W. X. Zheng, "Least-squares identification of a class of multivariable systems with correlated disturbances," Journal of the Franklin Institute, vol. 336, no. 8, pp. 1309-1324, 1999.
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    • Zheng, W.X.1
  • 7
    • 0036647204 scopus 로고    scopus 로고
    • A bias correction method for identification of linear dynamic errors-in-variables models
    • W. X. Zheng, "A bias correction method for identification of linear dynamic errors-in-variables models," IEEE Transactions on Automatic Control, vol. 47, no. 7, pp. 1142-1147, 2002.
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    • Zheng, W.X.1
  • 8
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    • On Indirect Identification of Feedback- Control Systems via the Instrumental Variables Methods
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  • 9
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    • Comparisons of bias compensation methods and other identification approaches for Box-Jenkins models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.