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Volumn 80, Issue 1, 1996, Pages 71-86

Fuzzy control as a universal control tool

Author keywords

Control theory; Distributed systems; Universal approximator; Universal controller

Indexed keywords


EID: 0002909447     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-0114(95)00263-4     Document Type: Article
Times cited : (35)

References (23)
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    • Buckley, J.J.1
  • 4
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    • ∞ controllers
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    • Foias, C.1
  • 6
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe and H. White, Multilayer feedforward networks are universal approximators, Neural Networks 2 (1989) 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 10
    • 2442576632 scopus 로고
    • Gaussian membership functions are most adequate in representing uncertainty in measurements
    • Puerto Vallarta, Mexico, December 15-17, 1992, NASA Johnson Space Center, Houston, TX
    • V. Kreinovich, C. Quintana and L. Reznik, Gaussian membership functions are most adequate in representing uncertainty in measurements, Proc. NAFIPS '92: North American Fuzzy Information Processing Society Conf., Puerto Vallarta, Mexico, Vol. II, December 15-17, 1992, NASA Johnson Space Center, Houston, TX (1992) 618-624.
    • (1992) Proc. NAFIPS '92: North American Fuzzy Information Processing Society Conf. , vol.2 , pp. 618-624
    • Kreinovich, V.1    Quintana, C.2    Reznik, L.3
  • 11
    • 0343259366 scopus 로고
    • 3-layer neural networks are universal approximates for functionals and for control strategies
    • V. Kreinovich and O. Sirisaengtaksin, 3-layer neural networks are universal approximates for functionals and for control strategies, Neural. Parallel Scientific Comput. 1 (1993) 325-346.
    • (1993) Neural. Parallel Scientific Comput. , vol.1 , pp. 325-346
    • Kreinovich, V.1    Sirisaengtaksin, O.2
  • 12
    • 0025404409 scopus 로고
    • Fuzzy logic in control systems: Fuzzy logic controllers. Parts I and II
    • C.C. Lee, Fuzzy logic in control systems: fuzzy logic controllers. Parts I and II, IEEE Trans. Systems, Man Cybernet. 20 (1990) 404-435.
    • (1990) IEEE Trans. Systems, Man Cybernet. , vol.20 , pp. 404-435
    • Lee, C.C.1
  • 13
    • 0016368711 scopus 로고
    • Application of fuzzy algorithms for control of simple dynamic plant
    • E.H. Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, Proc. IEE 121 (1974) 1585-1588.
    • (1974) Proc. IEE , vol.121 , pp. 1585-1588
    • Mamdani, E.H.1
  • 21
    • 21544467231 scopus 로고
    • Generating fuzzy rules from numerical data, with applications, University of Southern California, Signal and Image Processing Institute
    • L.-X. Wang and J. Mendel, Generating fuzzy rules from numerical data, with applications, University of Southern California, Signal and Image Processing Institute, Technical Report USC-SIPI # 169 (1991).
    • (1991) Technical Report USC-SIPI # 169 , vol.169
    • Wang, L.-X.1    Mendel, J.2
  • 23
    • 0038677399 scopus 로고
    • Results of empirical studies in fuzzy set theory
    • G.J. Klir, Ed., Plenum Press, New York
    • H.J. Zimmermann, Results of empirical studies in fuzzy set theory, in: G.J. Klir, Ed., Applied General System Research (Plenum Press, New York, 1978) 303-312.
    • (1978) Applied General System Research , pp. 303-312
    • Zimmermann, H.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.