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Volumn 77, Issue 5, 1999, Pages 421-428

On-line learning fuzzy relational model based dynamic matrix control of an openloop unstable process

Author keywords

Adaptive control; Dynamic matrix control; Fuzzy relational models

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; FUZZY CONTROL; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS;

EID: 0032721133     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1205/026387699526403     Document Type: Article
Times cited : (9)

References (12)
  • 2
    • 0001041123 scopus 로고    scopus 로고
    • Model predictive control of a nonlinear unstable process
    • Özkan, L. and Çamurdan, M. C., 1998, Model predictive control of a nonlinear unstable process, Comp and Chem Eng, 22: S883-S886.
    • (1998) Comp and Chem Eng , vol.22
    • Özkan, L.1    Çamurdan, M.C.2
  • 3
    • 0032455115 scopus 로고    scopus 로고
    • Nonlinear model predictive control: Current status and future directions
    • Henson, M. A., 1998, Nonlinear model predictive control: current status and future directions, Comp and Chem Eng, 23: 187-202.
    • (1998) Comp and Chem Eng , vol.23 , pp. 187-202
    • Henson, M.A.1
  • 4
    • 0004115523 scopus 로고    scopus 로고
    • Nonlinear process identification
    • Henson, M. A. and Seborg, D. E. (Eds). Chapter 2 (Prentice Hall, Englewood Cliffs, NJ)
    • Pearson, R. K. and Ogunnaike, B. A., 1997, Nonlinear process identification. In: Henson, M. A. and Seborg, D. E. (Eds). Nonlinear Process Control, Chapter 2 (Prentice Hall, Englewood Cliffs, NJ).
    • (1997) Nonlinear Process Control
    • Pearson, R.K.1    Ogunnaike, B.A.2
  • 5
    • 0000993120 scopus 로고    scopus 로고
    • Artificial neural networks for nonlinear process identification and control
    • Henson, M. A. and Seborg, D. E. (Eds). Chapter 7 (Prentice Hall, Englewood Cliffs, NJ)
    • Su, H. T. and McAvoy, T. J., 1997, Artificial neural networks for nonlinear process identification and control In: Henson, M. A. and Seborg, D. E. (Eds). Nonlinear Process Control, Chapter 7 (Prentice Hall, Englewood Cliffs, NJ).
    • (1997) Nonlinear Process Control
    • Su, H.T.1    McAvoy, T.J.2
  • 7
    • 0344981992 scopus 로고    scopus 로고
    • Fuzzy internal model control with on-line model adaptation
    • Edgar, C. R., and Postlethwaite, B. E., 1998, Fuzzy Internal Model Control with on-line Model Adaptation, submitted to Automatica.
    • (1998) Automatica.
    • Edgar, C.R.1    Postlethwaite, B.E.2
  • 9
    • 0029772815 scopus 로고    scopus 로고
    • Long-range predictive control using fuzzy process models
    • Linkens, D. A. and Kandiah S., 1996, Long-range predictive control using fuzzy process models, Chem Eng Res Des, Trans IChemE, 74(A): 77-88.
    • (1996) Chem Eng Res Des, Trans IChemE , vol.74 , Issue.A , pp. 77-88
    • Linkens, D.A.1    Kandiah, S.2
  • 10
    • 0024668467 scopus 로고
    • Model predictive control: Theory and practice - A survey
    • Garcia, C. E., Prett, D. M. and Morari, M., 1989, Model predictive control: Theory and practice - A survey, Automatica, 25: (3): 335-348.
    • (1989) Automatica , vol.25 , Issue.3 , pp. 335-348
    • Garcia, C.E.1    Prett, D.M.2    Morari, M.3
  • 12
    • 0019915142 scopus 로고
    • New approaches to dynamics of nonlinear systems with implications for process and control system design
    • Seborg D. E. and Edgar T. F. (Eds). (United Engineering Trustees, New York)
    • Ray, W. H., 1982, New approaches to dynamics of nonlinear systems with implications for process and control system design, In: Seborg D. E. and Edgar T. F. (Eds). Chemical Process Control 2, (United Engineering Trustees, New York).
    • (1982) Chemical Process Control 2
    • Ray, W.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.