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Volumn 5027 LNAI, Issue , 2008, Pages 225-234

Suboptimal nonlinear predictive control with MIMO neural hammerstein models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; MATHEMATICAL PROGRAMMING; MIM DEVICES; MULTIPLEXING; NEURAL NETWORKS; NONLINEAR PROGRAMMING; PREDICTIVE CONTROL SYSTEMS; QUADRATIC PROGRAMMING; TECHNOLOGY;

EID: 48249099295     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69052-8_24     Document Type: Conference Paper
Times cited : (5)

References (17)
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    • Aoubi, M.1
  • 3
    • 0019899613 scopus 로고
    • Identification of systems containing linear dynamic and static nonlinear elements
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    • (1982) Automatica , vol.18 , pp. 15-26
    • Billings, S.A.1    Fakhouri, S.Y.2
  • 4
    • 0026111055 scopus 로고
    • Use of Hammerstein models in identification of nonlinear systems
    • Eskinat, E., Johnson, S., Luyben, W.L.: Use of Hammerstein models in identification of nonlinear systems. AIChE Journal 37, 255-268 (1991)
    • (1991) AIChE Journal , vol.37 , pp. 255-268
    • Eskinat, E.1    Johnson, S.2    Luyben, W.L.3
  • 5
    • 0024909261 scopus 로고
    • Non-parametric orthogonal series identification Hammerstein systems
    • Greblicki, W.: Non-parametric orthogonal series identification Hammerstein systems. International Journal of Systems Science 20, 2355-2367 (1989)
    • (1989) International Journal of Systems Science , vol.20 , pp. 2355-2367
    • Greblicki, W.1
  • 7
    • 0032455115 scopus 로고    scopus 로고
    • Nonlinear model predictive control: Current status and future directions
    • Henson, M.A.: Nonlinear model predictive control: current status and future directions. Computers and Chemical Engineering 23, 187-202 (1998)
    • (1998) Computers and Chemical Engineering , vol.23 , pp. 187-202
    • Henson, M.A.1
  • 8
    • 0346121682 scopus 로고    scopus 로고
    • Neural network approach for identification of Hammerstein systems
    • Janczak, A.: Neural network approach for identification of Hammerstein systems. International Journal of Control 76, 1749-1766 (2003)
    • (2003) International Journal of Control , vol.76 , pp. 1749-1766
    • Janczak, A.1
  • 9
    • 33847320262 scopus 로고    scopus 로고
    • Nonlinear black-box identification of distillation column models - design variable selection for model performance enhancement
    • Ling, W.M., Rivera, D.: Nonlinear black-box identification of distillation column models - design variable selection for model performance enhancement. International Journal of Applied Mathematics and Computer Science 8, 793-813 (1998)
    • (1998) International Journal of Applied Mathematics and Computer Science , vol.8 , pp. 793-813
    • Ling, W.M.1    Rivera, D.2
  • 12
    • 0033135677 scopus 로고    scopus 로고
    • Model predictive control: Past, present and future
    • Morari, M., Lee, J.H.: Model predictive control: past, present and future. Computers and Chemical Engineering 23, 667-682 (1999)
    • (1999) Computers and Chemical Engineering , vol.23 , pp. 667-682
    • Morari, M.1    Lee, J.H.2
  • 14
    • 0032117897 scopus 로고    scopus 로고
    • Constrained nonlinear MPC usnig Hammerstein and Wiener models
    • Patwardhan, R.S., Lakshminarayanan, S., Shah, S.L.: Constrained nonlinear MPC usnig Hammerstein and Wiener models. AIChE Journal 44, 1611-1622 (1998)
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    • Patwardhan, R.S.1    Lakshminarayanan, S.2    Shah, S.L.3
  • 15
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    • Qin, S.J., Badgwell, T.A.: A survey of industrial model predictive control technology. Control Engineering Practice 11, 733-764 (2003)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.