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Volumn 27, Issue 6, 1996, Pages 533-542

Direct adaptive neural network control of robots

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; INTELLIGENT CONTROL; NEURAL NETWORKS; PARALLEL PROCESSING SYSTEMS; ROBOTS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0030167823     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207729608929247     Document Type: Article
Times cited : (35)

References (23)
  • 1
    • 0040740015 scopus 로고
    • Introduction to Robotics
    • Heading, Massachusetts, U.S.A, Addison-Wesley
    • Craig, J., 1980, Introduction to Robotics: Mechanics and Control (Heading, Massachusetts, U.S.A.: Addison-Wesley).
    • (1980) Mechanics and Control
    • Craig, J.1
  • 4
    • 0028749783 scopus 로고
    • Parallel adaptive neural network control of robots. Journal of System and Control Engineering, 208
    • Gii, S. S., and Lee, T. H., 1994, Parallel adaptive neural network control of robots. Journal of System and Control Engineering, 208, 231-237
    • (1994) 231-237
    • Gii, S.S.1    Lee, T.H.2
  • 6
    • 0003311305 scopus 로고
    • Networks and the best approximation property
    • MIT, Cambridge, Massachusetts, U.S.A
    • Girosi, F., and Poggio, T., 1989, Networks and the best approximation property. Artificial Intelligence Laboratory Memo, no. 1164, MIT, Cambridge, Massachusetts, U.S.A.
    • (1989) Artificial Intelligence Laboratory Memo , Issue.1164
    • Girosi, F.1    Poggio, T.2
  • 7
    • 38049007090 scopus 로고
    • An approach to the inverse nonlinear control using neural networks
    • Lee, T. H., Hang, C. C., Lian, L. L., and Lim, B. C., 1992, An approach to the inverse nonlinear control using neural networks. Mechatronics, 2, 595-611.
    • (1992) Mechatronics , vol.2 , pp. 595-611
    • Lee, T.H.1    Hang, C.C.2    Lian, L.L.3    Lim, B.C.4
  • 8
    • 38248999934 scopus 로고
    • Real-time parallel adaptive neural network control for nonlinear servomechanisms-an approach using direct adaptive technique
    • Lee, T. H., and Tan, W. K., 1993, Real-time parallel adaptive neural network control for nonlinear servomechanisms-an approach using direct adaptive technique. Mechatronics, 3, 705-725.
    • (1993) Mechatronics , vol.3 , pp. 705-725
    • Lee, T.H.1    Tan, W.K.2
  • 10
    • 0023364624 scopus 로고
    • Application of a general learning algorithm to the control of a robotic manipulator
    • Miller, W. T., Glanz, F. H., and Kraft, I. G., 1987, Application of a general learning algorithm to the control of a robotic manipulator. International Journal of Robotics Research, 6, 84-98.
    • (1987) International Journal of Robotics Research , vol.6 , pp. 84-98
    • Miller, W.T.1    Glanz, F.H.2    Kraft, I.G.3
  • 11
    • 0023869287 scopus 로고
    • Feedback error learning neural network for trajectory control of a robotic manipulator
    • Miyamoto, H., Kawato, M., Setoyama, T., and Suzuki, R., 1988, Feedback error learning neural network for trajectory control of a robotic manipulator. Neural Networks, 1, 251-265.
    • (1988) Neural Networks , vol.1 , pp. 251-265
    • Miyamoto, H.1    Kawato, M.2    Setoyama, T.3    Suzuki, R.4
  • 13
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • Narendra, K. S., and Parthasarathy, K„ 1990, Identification and control of dynamical systems using neural networks. IEEE Transactions on Neural Networks, 1, 4-27.
    • (1990) IEEE Transactions on Neural Networks , vol.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 14
  • 16
    • 0003207159 scopus 로고
    • A theory of networks for approximation and learning
    • MIT, Cambridge, Massachusetts, U.S.A
    • Poggio, T., and Girosi, F., 1989, A theory of networks for approximation and learning. Artificial Intelligence Laboratory Memo, no, 1140, MIT, Cambridge, Massachusetts, U.S.A.
    • (1989) Artificial Intelligence Laboratory Memo , Issue.1140
    • Poggio, T.1    Girosi, F.2
  • 18
  • 22
  • 23
    • 0003591357 scopus 로고
    • Stable control of nonlinear systems using neural networks
    • Cambridge University
    • Tzirkel-Hancock, E., and Fallside, F., 1991, Stable control of nonlinear systems using neural networks. Cambridge University, CUED/F-INFENG/TR81.
    • (1991) CUED/F-INFENG/TR81
    • Tzirkel-Hancock, E.1    Fallside, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.