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Volumn 80, Issue 6, 2007, Pages 863-871

Multiobjective parameter estimation for non-linear systems: Affine information and least-squares formulation

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EID: 78751598232     PISSN: 00207179     EISSN: 13665820     Source Type: Journal    
DOI: 10.1080/00207170601185053     Document Type: Article
Times cited : (23)

References (16)
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    • Aguirre, L.A.1    Billings, S.A.2
  • 3
    • 0039862370 scopus 로고    scopus 로고
    • Global nonlinear polynomial models: Structure, term cluster and fixed points
    • Aguirre, LA, and Mendes, E.M.A.M., 1996. “Global nonlinear polynomial models:structure, term cluster and fixed points.”. Inter. J. Bifurcation and Chaos, 6:279–294.
    • (1996) Inter. J. Bifurcation and Chaos , vol.6 , pp. 279-294
    • Aguirre, L.A.1    Mendes, E.M.A.M.2
  • 4
    • 0024685547 scopus 로고
    • Identification of MIMO nonlinear systems using a forward-regression orthogonal estimator
    • Billings, S, Chen, SA, and Korenberg, MJ. 1989. “Identification of MIMO nonlinear systems using a forward-regression orthogonal estimator”. Inter. J. Cont., 49:2157–2189.
    • (1989) Inter. J. Cont. , vol.49 , pp. 2157-2189
    • Billings, S.1    Chen, S.A.2    Korenberg, M.J.3
  • 8
    • 0030109138 scopus 로고    scopus 로고
    • Identification of non-linear systems using empirical data and prior knowledge -- an optimization approach
    • Johansen, T. 1996. “Identification of non-linear systems using empirical data and prior knowledge -- an optimization approach”. Automatica, 32:337–356.
    • (1996) Automatica , vol.32 , pp. 337-356
    • Johansen, T.1
  • 10
    • 0022011031 scopus 로고
    • Input--output parametric models for non-linear systems -- part i: Deterministic non–linear systems
    • Leontaritis, IJ, and Billings, SA. 1985. “Input--output parametric models for non-linear systems -- part i:deterministic non–linear systems”. Inter. J. Cont., 41:303–328.
    • (1985) Inter. J. Cont. , vol.41 , pp. 303-328
    • Leontaritis, I.J.1    Billings, S.A.2
  • 12
    • 0033880373 scopus 로고    scopus 로고
    • Gray-box identification of block-oriented nonlinear models
    • Pearson, RK, and Pottmann, M. 2000. “Gray-box identification of block-oriented nonlinear models”. J. Process Cont., 10:301–315.
    • (2000) J. Process Cont. , vol.10 , pp. 301-315
    • Pearson, R.K.1    Pottmann, M.2
  • 13
    • 0347592205 scopus 로고    scopus 로고
    • An identification algorithm for polynomial NARX models based on simulation error minimization
    • Piroddi, L, and Spinelli, W. 2003. “An identification algorithm for polynomial NARX models based on simulation error minimization”. Inter. J. Cont., 76:1767–1781.
    • (2003) Inter. J. Cont. , vol.76 , pp. 1767-1781
    • Piroddi, L.1    Spinelli, W.2
  • 16
    • 0027557151 scopus 로고
    • Grey-box modelling and identification using physical knowledge and Bayesian techniques
    • Tulleken, HJAF. 1993. “Grey-box modelling and identification using physical knowledge and Bayesian techniques”. Automatica, 29:285–308.
    • (1993) Automatica , vol.29 , pp. 285-308
    • Tulleken, H.J.A.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.