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Volumn 2, Issue 1, 1996, Pages 36-43

Non-linear pole-placement control with a neural network

Author keywords

NARMAX model; Neural network; Non linear control; Non linear parameter estimation; Pole placement

Indexed keywords


EID: 0011715014     PISSN: 09473580     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0947-3580(96)70026-2     Document Type: Article
Times cited : (12)

References (11)
  • 1
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • March
    • Narendra KS. et al. Identification and control of dynamical systems using neural networks. IEEE Transaction on Neural Networks March 1990 1(1):4-27
    • (1990) IEEE Transaction on Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1
  • 2
    • 0023994688 scopus 로고
    • A multilayered neural network controller
    • April
    • Psaltis D. et al. A multilayered neural network controller. IEEE Control System Magazine April 1988; 8(3):17-21
    • (1988) IEEE Control System Magazine , vol.8 , Issue.3 , pp. 17-21
    • Psaltis, D.1
  • 3
    • 0026954775 scopus 로고
    • Neural networks for control systems - A survey
    • Hunt KJ. et al. Neural networks for control systems - a survey. Automatica, 1992; 6:1083-1120
    • (1992) Automatica , vol.6 , pp. 1083-1120
    • Hunt, K.J.1
  • 4
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K. et al. Multilayer feedforward networks are universal approximators. Neural Networks, 1989; 2:359-366
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1
  • 7
    • 0025448276 scopus 로고
    • Non-linear system identification using neural networks
    • Chen S. et al. Non-linear system identification using neural networks. Int. J. Control, 1990; 6:1191-1214
    • (1990) Int. J. Control , vol.6 , pp. 1191-1214
    • Chen, S.1
  • 8
    • 0022011031 scopus 로고
    • Input-output parametric models for non-linear systems, part 1 and 2
    • Leontaritis IJ. Billings SA. Input-output parametric models for non-linear systems, part 1 and 2. Int. J. Control 1985; 41(2):303-344
    • (1985) Int. J. Control , vol.41 , Issue.2 , pp. 303-344
    • Leontaritis, I.J.1    Billings, S.A.2
  • 9
    • 44949277250 scopus 로고
    • A comparison of the backpropagation and recursive prediction error algorithms for training neural networks
    • Billings SA. et al. A comparison of the backpropagation and recursive prediction error algorithms for training neural networks. Mechanical Systems and Signal Processing 1991; 3:233-255
    • (1991) Mechanical Systems and Signal Processing , vol.3 , pp. 233-255
    • Billings, S.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.