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Volumn 47, Issue 10, 2011, Pages 2298-2305

MINLIP for the identification of monotone Wiener systems

Author keywords

Convex optimization; Nonlinear systems; System identification; Wiener systems

Indexed keywords

ALMOST CONSISTENT; DYNAMICAL MODEL; EMPIRICAL EVIDENCE; INEQUALITY CONSTRAINT; INFERENCE TECHNIQUES; MODEL COMPLEXITY; NOISY DATA; PERSISTENTLY EXCITING; QUADRATIC PROGRAMS; REGULARITY CONDITION; STATIC FUNCTIONS; SYSTEM IDENTIFICATIONS; WIENER SYSTEMS;

EID: 80052704398     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2011.08.026     Document Type: Conference Paper
Times cited : (27)

References (15)
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  • 2
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    • Hagenblad, A. (1999) Aspects of the identification of wiener models. PhD thesis, Department of Electrical Engineering, Linköping University, Linköping, Sweden, Nov.
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  • 7
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    • System identification
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  • 8
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    • Analysis of recursive stochastic algorithms
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  • 12
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    • Identifying MIMO Wiener systems using subspace model identification methods
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  • 13
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    • Convergence analysis of recursive identification algorithms based on the nonlinear Wiener model
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    • Wigren, T.1
  • 14
    • 0029343391 scopus 로고
    • Approximate gradients, convergence and positive realness in recursive identification of a class of non-linear systems
    • T. Wigren Approximate gradients, convergence and positive realness in recursive identification of a class of non-linear systems International Journal of Adaptive Control and Signal Processing 9 4 1995
    • (1995) International Journal of Adaptive Control and Signal Processing , vol.9 , Issue.4
    • Wigren, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.