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Volumn 23, Issue 2-4, 1998, Pages 249-265

Neuro-fuzzy Model-based Control

Author keywords

Fuzzy control; Heat exchangers; Intelligent control; Nonlinear control; Nonlinear models; Predictive control

Indexed keywords

CONTROL SYSTEM SYNTHESIS; FUZZY CONTROL; FUZZY SETS; HEAT EXCHANGERS; MATHEMATICAL MODELS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 2342591485     PISSN: 09210296     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008071130242     Document Type: Article
Times cited : (5)

References (19)
  • 1
    • 0031122455 scopus 로고    scopus 로고
    • A systematic classification of neural-network-based control
    • Agarwal, M.: 1997, A systematic classification of neural-network-based control, IEEE Control Systems 17, 75-93.
    • (1997) IEEE Control Systems , vol.17 , pp. 75-93
    • Agarwal, M.1
  • 2
    • 0019015481 scopus 로고
    • Self-tuning controllers based on pole-zero placement
    • Åström, K. J. and Wittenmark, B.: 1984, Self-tuning controllers based on pole-zero placement, Proc. IEEE 127, 120-130.
    • (1984) Proc. IEEE , vol.127 , pp. 120-130
    • Åström, K.J.1    Wittenmark, B.2
  • 3
    • 0030291740 scopus 로고    scopus 로고
    • An overview of fuzzy modeling for control
    • Babuška, R. and Verbruggen, H. B.: 1996, An overview of fuzzy modeling for control, Control Engrg. Practice 4, 1593-1606.
    • (1996) Control Engrg. Practice , vol.4 , pp. 1593-1606
    • Babuška, R.1    Verbruggen, H.B.2
  • 4
    • 0029287724 scopus 로고
    • Fuzzy logic controllers are universal approximators
    • Castro, J.: 1995, Fuzzy logic controllers are universal approximators, IEEE Trans. Systems Man Cybernet., 629-635.
    • (1995) IEEE Trans. Systems Man Cybernet. , pp. 629-635
    • Castro, J.1
  • 5
    • 0002182709 scopus 로고
    • Dynamic matrix control - A computer control algorithm
    • San Francisco, CA, 1982
    • Cutler, C. R.: 1982, Dynamic matrix control - a computer control algorithm, Proc. JACC, San Francisco, CA, 1982.
    • (1982) Proc. JACC
    • Cutler, C.R.1
  • 7
    • 0042798354 scopus 로고
    • Demystification of fuzzy control
    • S. G. Tzafestas and A. N. Venetsanopoulos (eds), Kluwer Academic Publisher, Dordrecht
    • Jager, R., Verbruggen, H. B., and Bruijn, P. M.: 1994, Demystification of fuzzy control, in: S. G. Tzafestas and A. N. Venetsanopoulos (eds), Fuzzy Reasoning in Information, Decision and Control Systems, Kluwer Academic Publisher, Dordrecht, pp. 165-197.
    • (1994) Fuzzy Reasoning in Information, Decision and Control Systems , pp. 165-197
    • Jager, R.1    Verbruggen, H.B.2    Bruijn, P.M.3
  • 8
    • 0003555779 scopus 로고
    • PhD Thesis, Delft University of Technology, Delft
    • Jager, R.: 1995, Fuzzy logic in control, PhD Thesis, Delft University of Technology, Delft.
    • (1995) Fuzzy Logic in Control
    • Jager, R.1
  • 9
    • 0027266182 scopus 로고
    • Functional equivalence between radial basis function networks and fuzzy inference systems
    • Jang, J.-S. R. and Sun, C.-T.: 1993, Functional equivalence between radial basis function networks and fuzzy inference systems, IEEE Trans. Neural Networks 4, 156-159.
    • (1993) IEEE Trans. Neural Networks , vol.4 , pp. 156-159
    • Jang, J.-S.R.1    Sun, C.-T.2
  • 10
    • 0028483093 scopus 로고
    • Fuzzy model-based control: Stability, robustness and performance issues
    • Johansen, T. A.: 1994, Fuzzy model-based control: Stability, robustness and performance issues, IEEE Trans. Fuzzy Systems 2, 221-234.
    • (1994) IEEE Trans. Fuzzy Systems , vol.2 , pp. 221-234
    • Johansen, T.A.1
  • 11
    • 0347151558 scopus 로고
    • Learning fuzzy rules equals to radial basis function neural network training
    • Orlando, FL, June 1994
    • Kecman, V. and Pfeiffer, B. M.: 1994, Learning fuzzy rules equals to radial basis function neural network training, in: IEEE World Congress on Computational Intelligence, Orlando, FL, June 1994.
    • (1994) IEEE World Congress on Computational Intelligence
    • Kecman, V.1    Pfeiffer, B.M.2
  • 12
    • 0019532419 scopus 로고
    • Redesign and explicit and implicit discrete time model reference adaptive control schemes
    • Lozano, R. and Landau, I. D.: 1981, Redesign and explicit and implicit discrete time model reference adaptive control schemes, Int. J. Control 33, 247-268.
    • (1981) Int. J. Control , vol.33 , pp. 247-268
    • Lozano, R.1    Landau, I.D.2
  • 13
    • 0029245483 scopus 로고
    • A self-organizing fuzzy logic controller for dynamic systems using a fuzzy auto-regressive moving average (FARMA) model
    • Park, Y., Moon, U., and Lee, K. Y.: 1995, A self-organizing fuzzy logic controller for dynamic systems using a fuzzy auto-regressive moving average (FARMA) model, IEEE Trans. Fuzzy Systems 3, 75-82.
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , pp. 75-82
    • Park, Y.1    Moon, U.2    Lee, K.Y.3
  • 17
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modelling and control
    • Takagi, T. and Sugeno, M.: 1985, Fuzzy identification of systems and its application to modelling and control, IEEE Trans. Systems Man Cybernet. 15, 116-132.
    • (1985) IEEE Trans. Systems Man Cybernet. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 18
    • 0028436490 scopus 로고
    • A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck - Trailer
    • Tanaka, K. and Sano, M.: 1994, A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck - trailer, IEEE Trans. Fuzzy Systems 2, 119-133.
    • (1994) IEEE Trans. Fuzzy Systems , vol.2 , pp. 119-133
    • Tanaka, K.1    Sano, M.2
  • 19
    • 84941527251 scopus 로고
    • Approximation theory of fuzzy systems - MIMO case
    • Zeng, X. J. and Singh, G. H.: 1995, Approximation theory of fuzzy systems - MIMO case, IEEE Trans. Fuzzy Systems 3, 219-235.
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , pp. 219-235
    • Zeng, X.J.1    Singh, G.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.