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Volumn 15, Issue PART 1, 2009, Pages 1086-1091

Two nonlinear optimization methods for black box identification compared

Author keywords

Constraints; Identification algorithms; Nonlinear models; Nonlinear systems; Parameter estimation; State space models

Indexed keywords

BLACK-BOX IDENTIFICATION; CONSTRAINED METHOD; CONSTRAINT EQUATION; CONSTRAINTS; EXPERIMENTAL DATA; IDENTIFICATION ALGORITHMS; NON-LINEAR MODEL; NONLINEAR LEAST-SQUARES OPTIMIZATION; NONLINEAR OPTIMIZATION METHODS; NONLINEAR STATE SPACE MODELS; STATE-SPACE MODELS;

EID: 77956402110     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090706-3-FR-2004.0280     Document Type: Conference Paper
Times cited : (12)

References (10)
  • 1
    • 0026765681 scopus 로고
    • Numerical methods for parameter estimation and optimal experimental design in chemical reaction systems
    • H. G. Bock, T. Lohmann and J. P. Schlöder. Numerical methods for parameter estimation and optimal experimental design in chemical reaction systems. Industrial and Engineering Chemistry Research, volume 31, issue 3, pages 54-57, 1992.
    • (1992) Industrial and Engineering Chemistry Research , vol.31 , Issue.3 , pp. 54-57
    • Bock, H.G.1    Lohmann, T.2    Schlöder, J.P.3
  • 5
    • 0012770021 scopus 로고    scopus 로고
    • A bibliography on nonlinear system identification
    • G. B. Giannakis and E. Serpedin. A bibliography on nonlinear system identification. IEEE Trans. Signal Process., volume 81, issue 3, pages 533-580, 2001.
    • (2001) IEEE Trans. Signal Process. , vol.81 , Issue.3 , pp. 533-580
    • Giannakis, G.B.1    Serpedin, E.2
  • 6
    • 0030193234 scopus 로고    scopus 로고
    • Subspace-based multivariable system identification from frequency response data
    • PII S0018928696053433
    • T. McKelvey, H. Akay and L. Ljung. Subspace-based multivariable system identification from frequency response data. IEEE Trans. Autom. Control, volume 41, issue 7, pages 960-979, 1996. (Pubitemid 126768477)
    • (1996) IEEE Transactions on Automatic Control , vol.41 , Issue.7 , pp. 960-979
    • McKelvey, T.1    Akcay, H.2    Ljung, L.3
  • 8
    • 0036681096 scopus 로고    scopus 로고
    • Frequency-domain subspace system identification using non-parametric noise models
    • DOI 10.1016/S0005-1098(02)00036-5, PII S0005109802000365
    • R. Pintelon. Frequency-domain subspace system identification using non-parametric noise models. Automatica, volume 38, issue 8, pages 1295-1311, 2002. (Pubitemid 34623681)
    • (2002) Automatica , vol.38 , Issue.8 , pp. 1295-1311
    • Pintelon, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.