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Volumn 31, Issue 1, 1986, Pages 74-77

Identification of Discrete Hammerstein Systems Using Kernel Regression Estimates

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL TECHNIQUES - ALGORITHMS; PROBABILITY; STATISTICAL METHODS - REGRESSION ANALYSIS;

EID: 0022440372     PISSN: 00189286     EISSN: 15582523     Source Type: Journal    
DOI: 10.1109/TAC.1986.1104096     Document Type: Article
Times cited : (138)

References (20)
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    • A noniterative method for identification using the Hammerstein model
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    • An iterative method for the identification of nonlinear systems using a Uryson model
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    • Gallman, P.G.1
  • 7
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    • Greblicki, W.1    Krzyzak, A.2
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    • W. Greblicki, A. Krzyzak, and M. Pawlak “Distribution-free pointwise consistency of kernel regression estimate,” Ann. Statist., vol. 12, pp. 1570–1575, 1984.
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  • 10
    • 84948605684 scopus 로고
    • Nonlinear identification in the presence of correlated noise using a Hammerstein model
    • N. D. Haist, F. H. I. Chang, and R. Luus “Nonlinear identification in the presence of correlated noise using a Hammerstein model,” IEEE Trans. Automat. Contr., vol. AC-18, pp. 552–555, 1973.
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    • Distribution free consistency of a nonparametric kernel regression estimate and classification
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    • Krzyzak, A.1    Pawlak, M.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.