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Volumn , Issue , 2007, Pages

Identification of MIMO Takagi-Sugeno model of a bioreactor

Author keywords

[No Author keywords available]

Indexed keywords

BIO REACTOR; COMPLEX MODELING; IDENTIFICATION METHODS; INTERNATIONAL CONFERENCES; LOCAL MODELING; MULTIPLE INPUT MULTIPLE OUTPUT MIMO); NONLINEAR MIMO SYSTEMS; TAKAGI-SUGENO MODELING; TAKAGI-SUGENO MODELS; WEIGHTING FUNCTIONS;

EID: 50249161231     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2007.4295643     Document Type: Conference Paper
Times cited : (13)

References (13)
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  • 4
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    • T. A. Johansen and A. B. Foss. Nonlinear local model representation for adaptive systems. 2, pages 677-682, Proc. of IEEE Int. Conf. on Intelligent Control and Instrumentation, 1992.
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  • 5
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  • 6
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    • Modelling and control of carbon monoxide concentration using a neuro-fuzzy technique
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    • Sano, M.1    Tanaka, K.2    Watanabe, H.3
  • 7
    • 0034476598 scopus 로고    scopus 로고
    • A comparative study on sufficient conditions for takagi sugeno fuzzy systems as universal approximators
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  • 8
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    • June
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.