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Volumn 40, Issue 2, 1993, Pages 243-249

A Methodology for Neural Network Training for Control of Drives with Nonlinearities

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTRIC DRIVES; ELECTRIC MOTORS; LEARNING SYSTEMS; NONLINEAR CONTROL SYSTEMS;

EID: 0027585264     PISSN: 02780046     EISSN: 15579948     Source Type: Journal    
DOI: 10.1109/41.222646     Document Type: Article
Times cited : (21)

References (14)
  • 1
    • 0026310298 scopus 로고
    • An investigation into neural net control systems with integral action
    • in Singapore Nov.
    • H. K. Lim, T. H. Lee, and T. S. Low, “An investigation into neural net control systems with integral action,” in Proc. Int. Joint Conf. Neural Networks (IJCNN’91), Singapore, vol. 2, Nov. 1991, pp. 1053–1058.
    • (1991) Proc. Int. Joint Conf. Neural Networks (IJCNN'91) , vol.2 , pp. 1053
    • Lim, H.K.1    Lee, T.H.2    Low, T.S.3
  • 2
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • K. S. Narendra and K. Parthasarathy, “Identification and control of dynamical systems using neural networks,” IEEE Trans. Neural Networks, vol. 1, no. 1, pp. 4–27, 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 3
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Homik, M. Stinchcombe, and H. White, “Multilayer feedforward networks are universal approximators,” Neural Networks, vol. 2, pp. 359–366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Homik, K.1    Stinchcombe, M.2    White, H.3
  • 6
    • 38249027421 scopus 로고
    • Robust adaptive control of discrete-time systems using persistent excitation
    • Nov.
    • T. H. Lee and K. S. Narendra, “Robust adaptive control of discrete-time systems using persistent excitation,” Automatica, vol. 24, pp. 781–788, Nov. 1988.
    • (1988) Automatica , vol.24 , pp. 781-788
    • Lee, T.H.1    Narendra, K.S.2
  • 10
    • 84941496268 scopus 로고
    • An approach to inverse nonlinear control using neural networks
    • May also MECHATRONICS J., Oxford, England, to be published.
    • T. H. Lee, C. C. Hang, L. L. Lian, and B. C. Lim, “An approach to inverse nonlinear control using neural networks,” Nat. Univ. of Singapore, Dep. Elec. Tech. Rep. Cl-91-5, May 1991; also MECHATRONICS J., Oxford, England, to be published.
    • (1991) Nat. Univ. of Singapore, Dep. Elec. Tech. Rep. Cl-91-5
    • Lee, T.H.1    Hang, C.C.2    Lian, L.L.3    Lim, B.C.4
  • 11
    • 0025418210 scopus 로고
    • Neural networks for self-learning control systems
    • Apr.
    • D. H. Nguyen and B. Widrow, “Neural networks for self-learning control systems, IEEE Contr. Syst. Mag., pp. 18–23, Apr. 1990.
    • (1990) IEEE Contr. Syst. Mag , pp. 18-23
    • Nguyen, D.H.1    Widrow, B.2
  • 12
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • in D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: M.I.T. Press Ch. 8
    • D. E. Rumelhart, G. E. Hinton, and R. J. William, “Learning internal representations by error propagation,” in D. E. Rumelhart and J. L. McClelland, Eds., Parallel Distributed Processing, Vol. 1. Cambridge, MA: M.I.T. Press, 1986, Ch. 8.
    • (1986) Parallel Distributed Processing , vol.1
    • Rumelhart, D.E.1    Hinton, G.E.2    William, R.J.3
  • 14
    • 84941493030 scopus 로고    scopus 로고
    • DSP based neural network hardware implementation for real time applications
    • “DSP based neural network hardware implementation for real time applications,” submitted to IEEE Trans. Neural Networks.
    • submitted to IEEE Trans. Neural Networks


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.