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Volumn 130, Issue 1-4, 2000, Pages 165-183

Control of chaotic dynamical systems using radial basis function network approximators

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DISCRETE TIME CONTROL SYSTEMS; FEEDBACK CONTROL; LINEAR CONTROL SYSTEMS; NONLINEAR CONTROL SYSTEMS;

EID: 0034504707     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(00)00074-8     Document Type: Article
Times cited : (29)

References (24)
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    • Hornik, K.1    Stinchcombe, M.2    White, H.3
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    • Universal approximation using radial-basis-function networks
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    • Park, J.1    Sandberg, I.W.2
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    • Nonlinear modeling and prediction by successive approximation using radial basis functions
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    • He, X.1    Lapedes, A.2
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    • On-line Identification of Nonlinear Time-Variant Systems Using Structurally Adaptive Radial Basis Function Networks
    • Albuquerque, June
    • T.F. Junge, H. Unbehauen, On-line Identification of Nonlinear Time-Variant Systems Using Structurally Adaptive Radial Basis Function Networks, in: Proceedings of the American Control Conference, Albuquerque, June 1977, pp. 1037-1041.
    • (1977) In: Proceedings of the American Control Conference , pp. 1037-1041
    • Junge, T.F.1    Unbehauen, H.2
  • 18
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    • Recursive hybrid algorithm for non-linear system identification using radial basis function networks
    • Chen S., Billings S.A., Grant P.M. Recursive hybrid algorithm for non-linear system identification using radial basis function networks. Int. J. Control. 55(5):1992;1051-1070.
    • (1992) Int. J. Control , vol.55 , Issue.5 , pp. 1051-1070
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  • 19
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    • Effects of the sampling time on the dynamics and identification of nonlinear models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.