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Volumn 64, Issue 9, 2003, Pages 1418-1431

The Hammerstein-Wiener Model for Identification of Stochastic Systems

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; CORRELATION METHODS; FUNCTIONS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; RANDOM PROCESSES; REGRESSION ANALYSIS; SET THEORY; THEOREM PROVING;

EID: 84904240047     PISSN: 00051179     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1026095818180     Document Type: Article
Times cited : (10)

References (18)
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  • 3
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  • 4
    • 0004151494 scopus 로고
    • Cambridge: Cambridge Univ. Press
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    • Horn, R.A.1    Johnson, C.R.2
  • 5
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    • Translated under the title, Moscow: Mir
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    • (1989) Matrichnyi Analiz
  • 7
    • 0004325876 scopus 로고
    • Translated under the title, Berlin: Springer-Verlag
    • Liptser, R.Sh. and Shiryaev, A.N., Statistika sluchainykh protsessov, Moscow: Nauka, 1974. Translated under the title Statistics of Random Processes, Berlin: Springer-Verlag, 1978.
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  • 8
    • 85029304811 scopus 로고
    • Identification of Nonlinear Objects by Complex Criteria
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    • Durgaryan, I.S.1    Pashenko, F.F.2
  • 9
    • 0036412435 scopus 로고    scopus 로고
    • Identification of Nonlinear Stochastic Hammerstein Objects
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    • (2002) Avtom. Telemekh. , Issue.4 , pp. 91-104
    • Bolkvadze, G.R.1
  • 11
    • 0029482971 scopus 로고
    • Nonlinear Black-Box Modeling in System Identification: Mathematical Foundations
    • Juditsky, A., Hjalmarsson, H., Bonveniste, A., et al., Nonlinear Black-Box Modeling in System Identification: Mathematical Foundations, Automatica, 1995, vol. 31, no. 12, pp. 1725-1750.
    • (1995) Automatica , vol.31 , Issue.12 , pp. 1725-1750
    • Juditsky, A.1    Hjalmarsson, H.2    Bonveniste, A.3
  • 13
    • 0004093909 scopus 로고
    • Cambridge: Cambridge Univ. Press
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    • (1969) Stochastic Approximation
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  • 14
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  • 15
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    • Convergence and Convergence Rate of Iterative Stochastic Algorithms. 1. The General Case
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  • 16
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    • York
    • Chen, H.F. and Gou, L., Necessary and Sufficient Conditions for Strong Consistency of Recursive Identification Algorithms, Identif. Syst. Parameter Estimation, in Proc. 7 IFAC/IFORS Sympos., York, 1985, pp. 1249-1253.
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  • 17
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  • 18
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    • Consistency of the Least-Squares Identification Method
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    • Ljung, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.