메뉴 건너뛰기




Volumn 61, Issue 20, 2006, Pages 6691-6700

Generalized delta rule (GDR) algorithm with generalized predictive control (GPC) for optimum temperature tracking of batch polymerization

Author keywords

Generalized delta rule algorithm; Neural networks control; Polymerization reactor

Indexed keywords

ALGORITHMS; CONTROL SYSTEMS; HAMILTONIANS; MATHEMATICAL MODELS; MOLECULAR WEIGHT; NEURAL NETWORKS;

EID: 33748059232     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2006.05.042     Document Type: Article
Times cited : (16)

References (16)
  • 1
    • 0028400981 scopus 로고
    • GMV technique for nonlinear control with neural networks
    • Bittanti S., and Piroddi L. GMV technique for nonlinear control with neural networks. IEE Process-Control Theory Applications 141 2 (1994) 57-69
    • (1994) IEE Process-Control Theory Applications , vol.141 , Issue.2 , pp. 57-69
    • Bittanti, S.1    Piroddi, L.2
  • 2
    • 0025010309 scopus 로고
    • Use of neural nets for dynamic modeling and control of chemical process systems
    • Bhat N., and McAvoy T.J. Use of neural nets for dynamic modeling and control of chemical process systems. Computers in Chemical Engineering 14 4/5 (1990) 573-583
    • (1990) Computers in Chemical Engineering , vol.14 , Issue.4-5 , pp. 573-583
    • Bhat, N.1    McAvoy, T.J.2
  • 3
    • 0019665476 scopus 로고
    • Minimum and time policies for batchwise radical chain polymerization-III
    • Chen S.A., and Huang N.W. Minimum and time policies for batchwise radical chain polymerization-III. Chemical Engineering Science 36 (1981) 1295-1305
    • (1981) Chemical Engineering Science , vol.36 , pp. 1295-1305
    • Chen, S.A.1    Huang, N.W.2
  • 4
    • 33748052120 scopus 로고    scopus 로고
    • Cooper, D.J., Hinde, R.F., Megan, L., 1990. A performance feedback neural network for pattern-based adaptive process control. A.I.Ch.E. Annual Meeting, Chicago II, November.
  • 5
    • 0003031133 scopus 로고
    • Modifying the generalized delta rule to train networks of nonmonotonic processors for pattern classification
    • Dawson M.R.W., and Schopflocher D.P. Modifying the generalized delta rule to train networks of nonmonotonic processors for pattern classification. Connection Science 4 (1992) 19-31
    • (1992) Connection Science , vol.4 , pp. 19-31
    • Dawson, M.R.W.1    Schopflocher, D.P.2
  • 6
    • 0034440697 scopus 로고    scopus 로고
    • Optimal temperature control in a batch polymerization reactor using nonlinear generalized predictive control
    • Hapoglu H., Özkan G., and Alpbaz M. Optimal temperature control in a batch polymerization reactor using nonlinear generalized predictive control. Chemical Engineering Communication 183 (2000) 155-185
    • (2000) Chemical Engineering Communication , vol.183 , pp. 155-185
    • Hapoglu, H.1    Özkan, G.2    Alpbaz, M.3
  • 7
    • 33748085108 scopus 로고    scopus 로고
    • Hasaltun, A., 1996. Dynamic matrix control of a batch styrene polymerization of reactor, M.Sc. Thesis, Gazi University, Turkey.
  • 8
    • 0027657894 scopus 로고
    • Predictive control of quality in a batch manufacturing process using artificial neural network models
    • Joseph B., and Hanratty F.W. Predictive control of quality in a batch manufacturing process using artificial neural network models. Industrial Engineering Chemical Research 32 (1993) 1951-1961
    • (1993) Industrial Engineering Chemical Research , vol.32 , pp. 1951-1961
    • Joseph, B.1    Hanratty, F.W.2
  • 9
    • 0024860315 scopus 로고
    • Modelling of free radical polymerization of styrene catalyzed by unsymetrical bifunctional initiators
    • Kim J.K., and Choi K.Y. Modelling of free radical polymerization of styrene catalyzed by unsymetrical bifunctional initiators. Chemical Engineering Science 44 (1989) 297-312
    • (1989) Chemical Engineering Science , vol.44 , pp. 297-312
    • Kim, J.K.1    Choi, K.Y.2
  • 11
    • 0022471098 scopus 로고
    • Learning representations by backpropagating errors
    • Rumelhart D.E., Hinton G.E., and Williams R.J. Learning representations by backpropagating errors. Nature 323 (1986) 533-536
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 13
    • 0032884372 scopus 로고    scopus 로고
    • Implementation of neural network based non-linear predictive control
    • Sorensen P.H., Norgaard M., Ravn O., and Poulsen N.K. Implementation of neural network based non-linear predictive control. Neurocomputing 28 (1999) 37-51
    • (1999) Neurocomputing , vol.28 , pp. 37-51
    • Sorensen, P.H.1    Norgaard, M.2    Ravn, O.3    Poulsen, N.K.4
  • 14
    • 0033495144 scopus 로고    scopus 로고
    • Multi-stage modelling of a semi-batch polymerization reactor using artificial neural networks
    • Yang S.H., Chung P.W.H., and Brooks B.W. Multi-stage modelling of a semi-batch polymerization reactor using artificial neural networks. Transactions of IchemE 77 (Part A) (1999) 779-783
    • (1999) Transactions of IchemE , vol.77 PART A , pp. 779-783
    • Yang, S.H.1    Chung, P.W.H.2    Brooks, B.W.3
  • 15
    • 0025415732 scopus 로고
    • Forecasting and control using adaptive connectionist networks
    • Ydstie B.E. Forecasting and control using adaptive connectionist networks. Computers in Chemical Engineering 14 4/5 (1990) 583-599
    • (1990) Computers in Chemical Engineering , vol.14 , Issue.4-5 , pp. 583-599
    • Ydstie, B.E.1
  • 16
    • 33748063375 scopus 로고    scopus 로고
    • Yüce, S., 2001. Nonlinear model predictive control of reactor temperature in agitated batch polymerization reactor operating optimal conduction. Ph.D Thesis, University of Ankara, Ankara.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.