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Volumn 2005, Issue , 2005, Pages 4970-4975

An alternative paradigm for probabilistic uncertainty bounding in prediction error identification

Author keywords

Model uncertainty; Model validation; System identification; Under modelling

Indexed keywords

CONTROL NONLINEARITIES; ERROR DETECTION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILISTIC LOGICS; UNCERTAIN SYSTEMS;

EID: 33847235340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1582949     Document Type: Conference Paper
Times cited : (4)

References (13)
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  • 3
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  • 5
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    • Quantifying the error in estimated transfer functions with application to model order selection
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    • Goodwin, G.C.1    Gevers, M.2    Ninness, B.M.3
  • 6
    • 0031271270 scopus 로고    scopus 로고
    • Identification of probabilistic uncertainty regions by explicit evaluation of bias and variance errors
    • R.G. Hakvoort and P.M.J. Van den Hof. Identification of probabilistic uncertainty regions by explicit evaluation of bias and variance errors. IEEE Trans. Automatic Control, 42(11):1516-1528, 1997.
    • (1997) IEEE Trans. Automatic Control , vol.42 , Issue.11 , pp. 1516-1528
    • Hakvoort, R.G.1    Van den Hof, P.M.J.2
  • 8
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    • L. Ljung. Model validation and model error modeling. In B. Wittenmark and A. Rantzer, editors, The Åström Symposium on Control, pages 15-42, Lund, Sweden, August 1999. Studentlitteratur.
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    • Ljung, L.1
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  • 11
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    • Estimation of model quality
    • B.M. Ninness and G.C. Goodwin. Estimation of model quality. Automatica, 31(12):1771-1797, 1995.
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  • 13
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    • System identification with generalized orthonormal basis functions
    • P.M.J. Van den Hof, P.S.C. Heuberger, and J. Bokor. System identification with generalized orthonormal basis functions. Automatica, 31(12):1821-1834, 1995.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.