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Volumn , Issue , 2003, Pages 802-807

Why are errors-in-variables problems often tricky?

Author keywords

Errors in variables; System identification

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); SPURIOUS SIGNAL NOISE;

EID: 84883179319     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2003.7085056     Document Type: Conference Paper
Times cited : (9)

References (17)
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  • 2
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    • Time-domain identification of dynamic errors-in-variables systems using periodic excitation signals
    • Beijing, P. R. China
    • U. Forsell, F. Gustafsson, and T. McKelvey. Time-domain identification of dynamic errors-in-variables systems using periodic excitation signals. In Proc. IFAC 14th World Congress, Beijing, P. R. China, 1999.
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  • 5
    • 0001756412 scopus 로고
    • Estimation of a system pulse transfer function in the presence of noise
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    • Levin, M.J.1
  • 7
    • 0031168659 scopus 로고    scopus 로고
    • Frequency domain system identification using non-parametric noise models estimated from a small number of data sets
    • J. Schoukens, R. Pintelon, G. Vandersteen, and P. Guillaume. Frequency domain system identification using non-parametric noise models estimated from a small number of data sets. Automatica, 33:1073-1086, 1997.
    • (1997) Automatica , vol.33 , pp. 1073-1086
    • Schoukens, J.1    Pintelon, R.2    Vandersteen, G.3    Guillaume, P.4
  • 8
    • 0019610533 scopus 로고
    • Identification of stochastic linear systems in presence of input noise
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    • Söderström, T.1
  • 9
    • 84929927073 scopus 로고    scopus 로고
    • Technical Report, Department of Information Technology, Uppsala University, Uppsala, Sweden, November
    • T. Söderström. Why are errors-in-variables problems often tricky? Technical Report 2002-040, Department of Information Technology, Uppsala University, Uppsala, Sweden, November 2002.
    • (2002) Why Are Errors-in-variables Problems Often Tricky?
    • Söderström, T.1
  • 10
    • 0036680579 scopus 로고    scopus 로고
    • Perspectives on errors-in-variables estimation for dynamic systems
    • August
    • T. Söderström, U. Soverini, and K. Mahata. Perspectives on errors-in-variables estimation for dynamic systems. Signal Processing, 82(8):1139-1154, August 2002.
    • (2002) Signal Processing , vol.82 , Issue.8 , pp. 1139-1154
    • Söderström, T.1    Soverini, U.2    Mahata, K.3
  • 12
  • 16
    • 0024754887 scopus 로고
    • Comparison of total least squares and instrumental variable methods for parameter estimation of transfer function models
    • S. Van Huffel and J. Vandewalle. Comparison of total least squares and instrumental variable methods for parameter estimation of transfer function models. International Journal of Control, 50:1039-1056, 1989.
    • (1989) International Journal of Control , vol.50 , pp. 1039-1056
    • Van Huffel, S.1    Vandewalle, J.2
  • 17
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    • On least-squares identification of stochastic linear systems with noisy input-output data
    • W. X. Zheng. On least-squares identification of stochastic linear systems with noisy input-output data. International Journal of Adaptive Control and Signal Processing, 13:11-143, 1999.
    • (1999) International Journal of Adaptive Control and Signal Processing , vol.13 , pp. 11-143
    • Zheng, W.X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.