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Volumn 51, Issue 6, 1990, Pages 1191-1214

Non-linear system identification using neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING--ALGORITHMS; CONTROL SYSTEMS, DISCRETE TIME; SYSTEMS SCIENCE AND CYBERNETICS--NEURAL NETS;

EID: 0025448276     PISSN: 00207179     EISSN: 13665820     Source Type: Journal    
DOI: 10.1080/00207179008934126     Document Type: Article
Times cited : (824)

References (20)
  • 2
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    • Identification of non-linear rational systems using a prediction-error estimation algorithm
    • BILLINGS, S. A., and CHEN, S., 1989, Identification of non-linear rational systems using a prediction-error estimation algorithm. International Journal of Systems Science, 20, 467-494.
    • (1989) International Journal of Systems Science , vol.20 , pp. 467-494
    • Billings, S.A.1    Chen, S.2
  • 3
    • 0024685547 scopus 로고
    • Identification of MIMO non-linear systems using a forward-regression orthogonal estimator
    • BILLINGS, S. A., CHEN, S., and KORENBERG, M. J., 1989, Identification of MIMO non-linear systems using a forward-regression orthogonal estimator. International Journal of Control, 49, 2157-2189.
    • (1989) International Journal of Control , vol.49 , pp. 2157-2189
    • Billings, S.A.1    Chen, S.2    Korenberg, M.J.3
  • 5
    • 0022752513 scopus 로고
    • Correlation based model validity tests for nonlinear models
    • BILLINGS, S. A., and VOON, W. S. F., 1986, Correlation based model validity tests for nonlinear models. International Journal of Control, 44, 235-244.
    • (1986) International Journal of Control , vol.44 , pp. 235-244
    • Billings, S.A.1    Voon, W.2
  • 6
    • 0017938054 scopus 로고
    • Maximum-power validation of models without higher-order fitting
    • BOHLIN, T., 1978, Maximum-power validation of models without higher-order fitting. Automatlea, 4,137-146.
    • (1978) Automatlea , vol.4 , pp. 137-146
    • Bohlin, T.1
  • 7
    • 0024613194 scopus 로고
    • Recursive prediction error parameter estimator for nonlinear models, 1989 b, Representation of non-linear systems: the NARMAX model. Ibid., 49,1013-1032; 1989 c, Modelling and analysis of non-linear time series. Ibid., 50, 2151-2171
    • CHEN, S., and BILLINGS, S. A., 1989 a, Recursive prediction error parameter estimator for nonlinear models. International Journal of Control, 49, 569-594; 1989 b, Representation of non-linear systems: the NARMAX model. Ibid., 49,1013-1032; 1989 c, Modelling and analysis of non-linear time series. Ibid., 50, 2151-2171.
    • (1989) International Journal of Control , vol.49 , pp. 569-594
    • Chen, S.1    Billings, S.A.2
  • 8
    • 0024771664 scopus 로고
    • Orthogonal least squares methods and their application to non-linear system identification
    • I
    • CHEN, S., BILLINGS, S. A., and Luo, W., 1989, Orthogonal least squares methods and their application to non-linear system identification. International Journal of Control, 50, 1873-1896.
    • (1989) Nternational Journal of Control , vol.50 , pp. 1873-1896
    • Chen, S.1    Billings, S.A.2    Luo, W.3
  • 9
    • 0024861871 scopus 로고
    • Approximations by superpositions of a sigmoidal function
    • CYBENKO, G., 1989, Approximations by superpositions of a sigmoidal function. Mathematics of Control, Signals and Systems, 2, 303-314.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 10
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • FUNAHASHI, K., 1989, On the approximate realization of continuous mappings by neural networks. Neural Networks, 2, 183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 13
    • 0023842467 scopus 로고
    • New recursive parameter estimation algorithms with varying but bounded gain matrix
    • JANECKI, D., 1988, New recursive parameter estimation algorithms with varying but bounded gain matrix. International Journal of Control, 47, 75-84.
    • (1988) International Journal of Control , vol.47 , pp. 75-84
    • Janecki, D.1
  • 14
    • 0022011031 scopus 로고
    • Input-output parametric models for non-linear systems. Part I: Deterministic non-linear systems; Part 2: Stochastic non-linear systems, 1987, Model selection and validation methods for non-linear systems. Ibid., 45, 311-341; 1988, Prediction error estimator for non-linear stochastic systems. International Journal of Systems Science, 19,519-536
    • LEONTARITIS, I. I., and BILLINGS, S. A., 1985, Input-output parametric models for non-linear systems. Part I: Deterministic non-linear systems; Part 2: Stochastic non-linear systems. International Journal of Control, 41, 303-344; 1987, Model selection and validation methods for non-linear systems. Ibid., 45, 311-341; 1988, Prediction error estimator for non-linear stochastic systems. International Journal of Systems Science, 19,519-536.
    • (1985) International Journal of Control , vol.41 , pp. 303-344
    • Leontaritis, I.I.1    Billings, S.A.2
  • 15
    • 0017526570 scopus 로고
    • Analysis of recursive stochastic algorithms
    • 1978, Convergence analysis of parametric identification methods. Ibid., 23, 770-783; 1981, Analysis of a general recursive prediction error identification algorithm. Automatica, 17, 89-99
    • LJUNG, L., 1977, Analysis of recursive stochastic algorithms. I.E.E.E. Transactions on Automatic Control, 22, 551-575; 1978, Convergence analysis of parametric identification methods. Ibid., 23, 770-783; 1981, Analysis of a general recursive prediction error identification algorithm. Automatica, 17, 89-99.
    • (1977) I.E.E.E. Transactions on Automatic Control , vol.22 , pp. 551-575
    • Ljung, L.1
  • 18
    • 0023843120 scopus 로고
    • Modified least squares algorithm incorporating exponential resetting and forgetting
    • SALGADO, M. E., GOODWIN, G. C, and MIDDLETON, R. H., 1988, Modified least squares algorithm incorporating exponential resetting and forgetting. International Journal  Control, 47, 477-491.
    • (1988) International Journal  Control , vol.47 , pp. 477-491
    • Salgado, M.E.1    Goodwin, G.C.2    Middleton, R.H.3
  • 20
    • 0004089297 scopus 로고
    • Threshold Models in Non-linear Time Series Analysis
    • New York: Springer-Verlag)
    • TONG, H., 1983, Threshold Models in Non-linear Time Series Analysis. Lecture Notes in Statistics (New York: Springer-Verlag).
    • (1983) Lecture Notes in Statistics
    • Tong, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.