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Volumn , Issue , 2001, Pages 3735-3740

Chemical process modeling with multiple neural networks

Author keywords

industrial process; multi model; neural networks

Indexed keywords

CONTROL ENGINEERING;

EID: 84947461252     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2001.7076515     Document Type: Conference Paper
Times cited : (4)

References (9)
  • 1
    • 0032637576 scopus 로고    scopus 로고
    • Nonlinear dynamic system identification: A multi-model approach
    • A. Boukhris, G. Mourot and J. Ragot, Nonlinear Dynamic System Identification: A Multi-Model Approach, Int. J. Control, Vol. 72, 591-604, 1999
    • (1999) Int. J. Control , vol.72 , pp. 591-604
    • Boukhris, A.1    Mourot, G.2    Ragot, J.3
  • 2
    • 84994394823 scopus 로고    scopus 로고
    • Identification of nonlinear systems using empitical data and prior knowledge
    • T. A. Johansen, Identification of Nonlinear Systems using Empitical Data and Prior Knowledge, Automatica, Vol. 32, 37-356.
    • Automatica , vol.32 , pp. 37-356
    • Johansen, T.A.1
  • 3
    • 0026927362 scopus 로고    scopus 로고
    • Goodwin applications of hysteresis switching in parameter adaptive control
    • A. S. Morse, D. Q. Mayne and G. C. GoodwinApplications of Hysteresis Switching in Parameter Adaptive Control, IEEE Trans, on Automatic Control, Vol. 37, No. 9, 1992.
    • IEEE Trans, on Automatic Control , vol.37 , Issue.9 , pp. 1992
    • Morse, A.S.1    Mayne, G.C.D.Q.2
  • 4
    • 0026883752 scopus 로고
    • A simple observer for nonlinear systems: Applications to bioreactors
    • Gauthier, J. P., H. Hammouri and S. Othman, A simple observer for nonlinear systems: Applications to bioreactors. IEEE Trans. Automat. Control, Vol. 37, 875-880, 1992.
    • (1992) IEEE Trans. Automat. Control , vol.37 , pp. 875-880
    • Gauthier, J.P.1    Hammouri, H.2    Othman, S.3
  • 5
    • 0029325388 scopus 로고
    • Adaptation and learning using multiple models, switching, and tuning
    • K. S. Narendra and J. Balakrishnan, M. K. Ciliz, Adaptation and Learning Using Multiple Models, Switching, and Tuning, IEEE Control Systems, 37-51, 1995
    • (1995) IEEE Control Systems , pp. 37-51
    • Narendra, K.S.1    Balakrishnan, J.2    Ciliz, M.K.3
  • 6
    • 84994412682 scopus 로고    scopus 로고
    • Dynamic multilayer neural networks for nonlinear system on-line identification
    • A. S. Poznyak, Wen Yu and E. N. Sanchez, Dynamic Multilayer Neural Networks for Nonlinear System On-line Identification, submitted to IEEE Trans, on Neural Networks.
    • IEEE Trans, on Neural Networks
    • Poznyak, A.S.1    Yu, W.2    Sanchez, E.N.3
  • 8
    • 84947448676 scopus 로고    scopus 로고
    • Robust adaptive control for multicomponent column via dyan-mic neural network
    • Dusseldorf Germany
    • Wen Yu, Alexander S. Poznyak and Jaime Alvarez, Robust Adaptive Control for Multicomponent Column via Dyan-mic Neural Network, 5th European Control Conference, ECC'PP, Dusseldorf Germany, 1999
    • (1999) 5th European Control Conference, ecc'Pp
    • Yu, W.1    Poznyak, A.S.2    Alvarez, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.