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Volumn 2417, Issue , 2002, Pages 295-304

Generalization of iterative learning control for multiple desired trajectories in robotic systems

Author keywords

[No Author keywords available]

Indexed keywords

CONTROLLERS; ERRORS; ITERATIVE METHODS; LEARNING ALGORITHMS; ROBOTICS; TRAJECTORIES; TWO TERM CONTROL SYSTEMS;

EID: 84947910107     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45683-x_33     Document Type: Conference Paper
Times cited : (1)

References (9)
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    • Arif M., T. Ishihara and H. Inooka (2001). Incorporation of Experience in Iterative Learning Controllers using Locally Weighted Learning, Automatica, Vol 37(6), pp. 881-888.
    • (2001) Automatica , vol.37 , Issue.6 , pp. 881-888
    • Arif, M.1    Ishihara, T.2    Inooka, H.3
  • 2
    • 84995039499 scopus 로고
    • Bettering operation of robots by learning
    • Arimoto S., S. Kawamura and F. Miyazaki (1984). Bettering operation of robots by learning, J. Robotic Systems, Vol. 1(2), pp.123-140.
    • (1984) J. Robotic Systems , vol.1 , Issue.2 , pp. 123-140
    • Arimoto, S.1    Kawamura, S.2    Miyazaki, F.3
  • 3
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    • A nonlinear iterative learning method for robot path control
    • Bien Z., D.H. Hwang and S.R. Oh (1991). A nonlinear iterative learning method for robot path control. Robotica, Vol. 9, pp. 387-392.
    • (1991) Robotica , vol.9 , pp. 387-392
    • Bien, Z.1    Hwang, D.H.2    Oh, S.R.3
  • 4
    • 0031997004 scopus 로고    scopus 로고
    • A recurrent neural network based real time learning control strategy applying to nonlinear systems with unknown dynamics
    • Chow W. S. T. and Y. Fang (1998), A recurrent neural network based real time learning control strategy applying to nonlinear systems with unknown dynamics, IEEE Trans. on IE, Vol. 45(1), pp. 151-161.
    • (1998) IEEE Trans. On IE , vol.45 , Issue.1 , pp. 151-161
    • Chow, W.S.T.1    Fang, Y.2
  • 5
    • 0027805995 scopus 로고
    • An iterative learning scheme for motion control of robots using neural networks: A case study
    • Fu J. and N.K. Sinha (1993). An iterative learning scheme for motion control of robots using neural networks: A case study, Journal of Intelligent and Robotic Systems, Vol. 8, pp. 375-398.
    • (1993) Journal of Intelligent and Robotic Systems , vol.8 , pp. 375-398
    • Fu, J.1    Sinha, N.K.2
  • 6
    • 0024866495 scopus 로고
    • On the approximation realization of continuous mappings by neural networks
    • Funahashi, K.I. (1989), On the approximation realization of continuous mappings by neural networks, Neural Networks, Vol. 2, pp. 183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.I.1
  • 7
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm
    • Hagan M. T. and M. Menhaj (1994). Training feedforward networks with the Marquardt algorithm. IEEE trans. on Neural Networks, Vol. 5(6), pp. 989-993.
    • (1994) IEEE Trans. On Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 8
    • 0009625590 scopus 로고    scopus 로고
    • Superposition of linearly independent functions and finite mappings by neural networks
    • Itoo Y. and K. Saito (1996). Superposition of linearly independent functions and finite mappings by neural networks, Math. Scient. Vol. 21, pp. 27-33.
    • (1996) Math. Scient , vol.21 , pp. 27-33
    • Itoo, Y.1    Saito, K.2
  • 9
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    • An iterative learning control method with application for the robot manipulator
    • Oh S. R., Z. Bien and I.H. Suh (1988). An iterative learning control method with application for the robot manipulator, IEEE J. of Robotics and Automation, pp. 508-514.
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    • Oh, S.R.1    Bien, Z.2    Suh, I.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.