메뉴 건너뛰기




Volumn 138, Issue 1-3, 2008, Pages 274-282

Wiener-neural identification and predictive control of a more realistic plug-flow tubular reactor

Author keywords

HYSYS simulator; Nonlinear model predictive control (NMPC); Tubular reactor; Wiener neural identification

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

EID: 40749118070     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2007.05.044     Document Type: Article
Times cited : (51)

References (29)
  • 2
    • 1442353213 scopus 로고    scopus 로고
    • State and output feedback nonlinear model predictive control
    • Findeisen R., Imsland L., Allgower F., and Foss B.A. State and output feedback nonlinear model predictive control. Eur. J. Control 9 2/3 (2003) 190-207
    • (2003) Eur. J. Control , vol.9 , Issue.2-3 , pp. 190-207
    • Findeisen, R.1    Imsland, L.2    Allgower, F.3    Foss, B.A.4
  • 5
    • 0027007477 scopus 로고
    • Nonlinear internal model control strategy for neural networks models
    • Nahas E.P., Henson M.A., and Seborg D.E. Nonlinear internal model control strategy for neural networks models. Comput. Chem. Eng. 16 12 (1992) 1039-1057
    • (1992) Comput. Chem. Eng. , vol.16 , Issue.12 , pp. 1039-1057
    • Nahas, E.P.1    Henson, M.A.2    Seborg, D.E.3
  • 6
    • 27444441175 scopus 로고    scopus 로고
    • Dynamic recurrent radial basis function network model predictive control of unstable nonlinear processes
    • Venkateswarlu Ch., and Venkat Rao K. Dynamic recurrent radial basis function network model predictive control of unstable nonlinear processes. Chem. Eng. Sci. 60 (2005) 6718-6732
    • (2005) Chem. Eng. Sci. , vol.60 , pp. 6718-6732
    • Venkateswarlu, Ch.1    Venkat Rao, K.2
  • 7
    • 0027399830 scopus 로고
    • Neural model predictive control for nonlinear chemical processes
    • Song J.J., and Park S. Neural model predictive control for nonlinear chemical processes. J. Chem. Eng. Jpn. 26 4 (1993) 347-354
    • (1993) J. Chem. Eng. Jpn. , vol.26 , Issue.4 , pp. 347-354
    • Song, J.J.1    Park, S.2
  • 8
    • 0035070257 scopus 로고    scopus 로고
    • A nonlinear industrial model predictive controller using integrated PLS and neural net state-space model
    • Zhao H., Guiver J., Neelakantan R., and Biegler L.T. A nonlinear industrial model predictive controller using integrated PLS and neural net state-space model. Control Eng. Pract. 9 (2001) 125-133
    • (2001) Control Eng. Pract. , vol.9 , pp. 125-133
    • Zhao, H.1    Guiver, J.2    Neelakantan, R.3    Biegler, L.T.4
  • 9
    • 33846893475 scopus 로고    scopus 로고
    • Model based control of a yeast fermentation bioreactor using optimally designed artificial neural networks
    • Nagy Z.K. Model based control of a yeast fermentation bioreactor using optimally designed artificial neural networks. Chem. Eng. J. 127 1-3 (2007) 95-109
    • (2007) Chem. Eng. J. , vol.127 , Issue.1-3 , pp. 95-109
    • Nagy, Z.K.1
  • 10
    • 0034112503 scopus 로고    scopus 로고
    • Control of nonisothermal CSTR with time varying parameters via dynamic neural network control (DNNC)
    • Nikravesh M., Farell A.E., and Stanford T.G. Control of nonisothermal CSTR with time varying parameters via dynamic neural network control (DNNC). Chem. Eng. J. 76 (2000) 1-16
    • (2000) Chem. Eng. J. , vol.76 , pp. 1-16
    • Nikravesh, M.1    Farell, A.E.2    Stanford, T.G.3
  • 11
    • 0032735194 scopus 로고    scopus 로고
    • Review of the applications of neural networks in chemical process control-simulation and online implementation
    • Azlan Hussain M. Review of the applications of neural networks in chemical process control-simulation and online implementation. Artif. Intell. Eng. 13 (1999) 55-68
    • (1999) Artif. Intell. Eng. , vol.13 , pp. 55-68
    • Azlan Hussain, M.1
  • 12
    • 17144474444 scopus 로고    scopus 로고
    • Wiener model identification and predictive control of a pH neutralization process
    • Gomez J.C., Jutan A., and Baeyens E. Wiener model identification and predictive control of a pH neutralization process. IEE Proc. Control Theory Appl. 151 3 (2004)
    • (2004) IEE Proc. Control Theory Appl. , vol.151 , Issue.3
    • Gomez, J.C.1    Jutan, A.2    Baeyens, E.3
  • 13
    • 0031933220 scopus 로고    scopus 로고
    • Model predictive control based on Wiener models
    • Norquay S.J., Palazoglu A., and Romagnoli J.A. Model predictive control based on Wiener models. Chem. Eng. Sci. 53 1 (1998) 75-84
    • (1998) Chem. Eng. Sci. , vol.53 , Issue.1 , pp. 75-84
    • Norquay, S.J.1    Palazoglu, A.2    Romagnoli, J.A.3
  • 14
    • 0043124278 scopus 로고    scopus 로고
    • A nonlinear model predictive control system based on Wiener piecewise linear models
    • Cervantes A.L., Agamennoni O.E., and Figueroa J.L. A nonlinear model predictive control system based on Wiener piecewise linear models. J. Process Control 13 (2003) 655-666
    • (2003) J. Process Control , vol.13 , pp. 655-666
    • Cervantes, A.L.1    Agamennoni, O.E.2    Figueroa, J.L.3
  • 15
    • 0032193049 scopus 로고    scopus 로고
    • State-space nonlinear process modeling: identification and universality
    • Sentoni G.B., Biegler L.T., Guiver J.B., and Zhao H. State-space nonlinear process modeling: identification and universality. AIChE J. 44 10 (1998) 2229-2239
    • (1998) AIChE J. , vol.44 , Issue.10 , pp. 2229-2239
    • Sentoni, G.B.1    Biegler, L.T.2    Guiver, J.B.3    Zhao, H.4
  • 16
    • 0035852004 scopus 로고    scopus 로고
    • Nonlinear model predictive control using a Wiener model of a continuous methyl methacrylate polymerization reactor
    • Jeong B.G., Yoo K.Y., and Rhee H.K. Nonlinear model predictive control using a Wiener model of a continuous methyl methacrylate polymerization reactor. Ind. Eng. Chem. Res. 40 25 (2001) 5968-5977
    • (2001) Ind. Eng. Chem. Res. , vol.40 , Issue.25 , pp. 5968-5977
    • Jeong, B.G.1    Yoo, K.Y.2    Rhee, H.K.3
  • 17
    • 0030197651 scopus 로고    scopus 로고
    • Identifying MIMO Wiener system using subspace model identification methods
    • Westwick D., and Verhaegen M. Identifying MIMO Wiener system using subspace model identification methods. Signal Process. 52 2 (1996) 235-258
    • (1996) Signal Process. , vol.52 , Issue.2 , pp. 235-258
    • Westwick, D.1    Verhaegen, M.2
  • 18
    • 0035546342 scopus 로고    scopus 로고
    • Wiener model identification and predictive control for dual composition control of a distillation column
    • Bloemen H.H.J., Chou C.T., van den Boom T.J.J., Verdult V., Verhaegen M., and Backx T.C. Wiener model identification and predictive control for dual composition control of a distillation column. J. Process Control 11 6 (2001) 601-620
    • (2001) J. Process Control , vol.11 , Issue.6 , pp. 601-620
    • Bloemen, H.H.J.1    Chou, C.T.2    van den Boom, T.J.J.3    Verdult, V.4    Verhaegen, M.5    Backx, T.C.6
  • 19
    • 0036722099 scopus 로고    scopus 로고
    • Temperature control in catalytic cracking reactors via a robust PID controller
    • Aguilar R., Poznyak A., Martinez-Guerra R., and Maya-Yescas R. Temperature control in catalytic cracking reactors via a robust PID controller. J. Process Control 12 (2002) 695-705
    • (2002) J. Process Control , vol.12 , pp. 695-705
    • Aguilar, R.1    Poznyak, A.2    Martinez-Guerra, R.3    Maya-Yescas, R.4
  • 20
    • 0022696878 scopus 로고
    • Internal model control. 5. Extension to nonlinear systems
    • Economou C.G., and Morari M. Internal model control. 5. Extension to nonlinear systems. Ind. Eng. Chem. PDD 25 2 (1986) 403-411
    • (1986) Ind. Eng. Chem. PDD , vol.25 , Issue.2 , pp. 403-411
    • Economou, C.G.1    Morari, M.2
  • 21
    • 0033880373 scopus 로고    scopus 로고
    • Gray-box identification of block-oriented nonlinear models
    • Pearson R.K., and Pottmann M. Gray-box identification of block-oriented nonlinear models. J. Process Control 10 (2000) 301-315
    • (2000) J. Process Control , vol.10 , pp. 301-315
    • Pearson, R.K.1    Pottmann, M.2
  • 22
    • 0028330582 scopus 로고
    • Identification of the deterministic term of MIMO state space models given in innovation form from input-output data
    • Verhaegen M. Identification of the deterministic term of MIMO state space models given in innovation form from input-output data. Automatica 30 1 (1994) 61-74
    • (1994) Automatica , vol.30 , Issue.1 , pp. 61-74
    • Verhaegen, M.1
  • 23
    • 0001735321 scopus 로고    scopus 로고
    • Identification of the temperature-product quality relationship in a multi-component distillation column
    • Verhaegen M. Identification of the temperature-product quality relationship in a multi-component distillation column. Chem. Eng. Commun. 163 (1998) 111-132
    • (1998) Chem. Eng. Commun. , vol.163 , pp. 111-132
    • Verhaegen, M.1
  • 24
    • 40749158514 scopus 로고    scopus 로고
    • B. Haverkamp, State Space Identification: Theory and Practice, PhD thesis, Faculty of Information Technology and Systems, Delft University of Technology, Delft, The Netherlands, 2001.
    • B. Haverkamp, State Space Identification: Theory and Practice, PhD thesis, Faculty of Information Technology and Systems, Delft University of Technology, Delft, The Netherlands, 2001.
  • 26
    • 0003600777 scopus 로고    scopus 로고
    • Society for Industrial and Applied Mathematics (SIAM), Philadelphia
    • Kelley C.T. Iterative Methods for Optimization (1999), Society for Industrial and Applied Mathematics (SIAM), Philadelphia
    • (1999) Iterative Methods for Optimization
    • Kelley, C.T.1
  • 29
    • 40749091039 scopus 로고    scopus 로고
    • O.T. Berglihn, A toolbox for using MATLAB as an activeX/COM controller for Hysys, Matlab Central, http://www.pvv.org/∼olafb/hysyslib/, 1999.
    • O.T. Berglihn, A toolbox for using MATLAB as an activeX/COM controller for Hysys, Matlab Central, http://www.pvv.org/∼olafb/hysyslib/, 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.