메뉴 건너뛰기




Volumn 6, Issue 3, 1995, Pages 703-715

Neural Net Robot Controller with Guaranteed Tracking Performance

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CLOSED LOOP CONTROL SYSTEMS; COMPUTER CONTROL SYSTEMS; ERRORS; LEARNING SYSTEMS; MATRIX ALGEBRA; PERFORMANCE; ROBOTIC ARMS; ROBOTS; VECTORS;

EID: 0029304635     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.377975     Document Type: Article
Times cited : (532)

References (39)
  • 2
    • 84942839679 scopus 로고
    • On-line function approximation via neural networks
    • E. Alcorta and E. N. Sanchez, “On-line function approximation via neural networks,” preprint, 1992.
    • (1992) preprint
    • Alcorta, E.1    Sanchez, E.N.2
  • 4
    • 0026972877 scopus 로고
    • Neural-based adaptive nonlinear system identification
    • S. R. Chu and R. Shoureshi, “Neural-based adaptive nonlinear system identification,” in Proc. Intelligent Contr. Syst., vol. 45, ASME Winter Annual Meeting, 1992.
    • (1992) Proc. Intelligent Contr. Syst. , vol.45
    • Chu, S.R.1    Shoureshi, R.2
  • 5
    • 0018011435 scopus 로고
    • Kronecker products and matrix calculus in system theory
    • J. W. Brewer, “Kronecker products and matrix calculus in system theory,” IEEE Trans. Circuits Syst., vol. CAS-25, no. 9, pp. 772-781, Sep. 1978.
    • (1978) IEEE Trans. Circuits Syst. , vol.CAS-25 , Issue.9 , pp. 772-781
    • Brewer, J.W.1
  • 7
    • 0027597063 scopus 로고
    • Direct control and coordination using neural networks
    • May
    • X. Cui and K. G. Shin, “Direct control and coordination using neural networks,” IEEE Trans. Syst., Man, Cybern., vol. 23, no. 3, May/June 1993.
    • (1993) IEEE Trans. Syst. , vol.23 , Issue.3
    • Cui, X.1    Shin, K.G.2
  • 8
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • G. Cybenko, “Approximation by superpositions of a sigmoidal function,” Math. Contr., Signals Syst., vol. 2, no. 4, pp. 303-314, 1989.
    • (1989) Math. Contr. , vol.2 , Issue.4 , pp. 303-314
    • Cybenko, G.1
  • 9
    • 0025483558 scopus 로고
    • Robust control for the tracking of robot motion
    • D. M. Dawson, Z. Qu, F. L. Lewis, and J. F. Dorsey, “Robust control for the tracking of robot motion,” Int. J. Contr., vol. 52, no. 3, pp. 581-595, 1990.
    • (1990) Int. J. Contr. , vol.52 , Issue.3 , pp. 581-595
    • Dawson, D.M.1    Qu, Z.2    Lewis, F.L.3    Dorsey, J.F.4
  • 10
    • 0042622038 scopus 로고
    • Can we identify adaptive control?
    • July
    • G. C. Goodwin, “Can we identify adaptive control?” in Proc. European Contr. Conf., July 1991, pp. 1714-1725.
    • (1991) Proc. European Contr. Conf. , pp. 1714-1725
    • Goodwin, G.C.1
  • 13
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchombe, 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
    • Hornik, K.1    Stinchombe, M.2    White, H.3
  • 14
    • 0026189438 scopus 로고
    • A nonlinear regulator design in the presence of system uncertaities using multilayer neural networks
    • July
    • Y. Iiguni, H. Sakai, and H. Tokumaru, “A nonlinear regulator design in the presence of system uncertaities using multilayer neural networks,” IEEE Trans. Neural Networks, vol. 2, no. 4, pp. 410-417, July 1991.
    • (1991) IEEE Trans. Neural Networks , vol.2 , Issue.4 , pp. 410-417
    • Iiguni, Y.1    Sakai, H.2    Tokumaru, H.3
  • 15
    • 0343581610 scopus 로고
    • A summary comparison of CMAC neural network and traditional adaptive control systems
    • L. G. Kraft and D. P. Campagna, “A summary comparison of CMAC neural network and traditional adaptive control systems,” in Neural Networks for Control, W. T. Miller, R. S. Sutton, and P. J. Werbos, Eds. Cambridge, MA: MIT Press, 1991, pp. 143-169,.
    • (1991) Neural Networks for Control , pp. 143-169
    • Kraft, L.G.1    Campagna, D.P.2
  • 18
    • 0038928275 scopus 로고
    • Robust control techniques for general dynamic systems
    • K. Liu and F. L. Lewis, “Robust control techniques for general dynamic systems,” J. Intell. Robotic Syst., vol. 6, pp. 33-49, 1992.
    • (1992) J. Intell. Robotic Syst. , vol.6 , pp. 33-49
    • Liu, K.1    Lewis, F.L.2
  • 20
    • 0002463824 scopus 로고
    • Adaptive control using neural networks
    • K. S. Narendra, “Adaptive control using neural networks,” Neural Networks for Control. W. T. Miller, R. S. Sutton, and P. J. Werbos, Eds. Cambridge, MA: MIT Press, 1991, pp. 115-142.
    • (1991) Neural Networks for Control. W. T. Miller , pp. 115-142
    • Narendra, K.S.1
  • 21
    • 0023288277 scopus 로고
    • A new adaptive law for robust adaptation without persistent excitation
    • Feb.
    • K. S. Narendra and A. M. Annaswamy, “A new adaptive law for robust adaptation without persistent excitation,” IEEE Trans. Automat. Control, vol. 32, no. 2, pp. 134-145, Feb. 1987.
    • (1987) IEEE Trans. Automat. Control , vol.32 , Issue.2 , pp. 134-145
    • Narendra, K.S.1    Annaswamy, A.M.2
  • 22
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • Mar.
    • K. S. Narendra and K. Parthasarathy, “Identification and control of dynamical systems using neural networks,” IEEE Trans. Neural Networks, vol. 1, pp. 4-27, Mar. 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 23
    • 0002487906 scopus 로고
    • Adaptive control of dynamical systems using neural networks
    • K. S. Narendra, “Adaptive control of dynamical systems using neural networks,” Handbook of Intelligent Control, D. A. White and D. A. Sofge, Eds. New York: Van Nostrand Reinhold, 1992, pp. 141-183.
    • (1992) Handbook of Intelligent Control , pp. 141-183
    • Narendra, K.S.1
  • 27
    • 0000106040 scopus 로고
    • Universal approximation using radial-basis-function networks
    • J. Park and I. W. Sandberg, “Universal approximation using radial-basis-function networks,” Neural Comp., vol. 3, pp. 246-257, 1991.
    • (1991) Neural Comp. , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 28
    • 0003581164 scopus 로고
    • Identification and control using neural network models: Design and stability analysis
    • M. M. Polycarpou and P. A. Ioannu, “Identification and control using neural network models: Design and stability analysis,” Dept. Elect. Eng. Syst., Univ. S. Cal., Tech. Report 91-09-01, Sep. 1991.
    • (1991) Dept. Elect. Eng. Syst.
    • Polycarpou, M.M.1    Ioannu, P.A.2
  • 29
    • 0002820291 scopus 로고
    • Neural networks as on-line approximators of nonlinear systems
    • Dec.
    • M. M. Polycarpou and P. A. Ioannu, “Neural networks as on-line approximators of nonlinear systems,” in Proc. IEEE Conf. Decision Contr., Dec. 1992, pp. 7-12.
    • (1992) Proc. IEEE Conf. Decision Contr. , pp. 7-12
    • Polycarpou, M.M.1    Ioannu, P.A.2
  • 30
    • 84942840193 scopus 로고
    • A theory of networks with for approximation and learning
    • T. Poggio and F. Girosi, “A theory of networks with for approximation and learning,” Artif. Intel. Lab, MIT, Tech. Report Memo no. 1140, 1989.
    • (1989) Artif. Intel. Lab , Issue.1140
    • Poggio, T.1    Girosi, F.2
  • 31
    • 0028386785 scopus 로고
    • Adaptive control of unknown plants using dynamical neural networks
    • G. A. Rovithakis and M. A. Christodoulou, “Adaptive control of unknown plants using dynamical neural networks,” IEEE Trans. Syst., Man, Cybern., to appear, 1994.
    • (1994) IEEE Trans. Syst.
    • Rovithakis, G.A.1    Christodoulou, M.A.2
  • 32
    • 0026387721 scopus 로고
    • Nonlinear identification and control via neural networks
    • N. Sadegh, “Nonlinear identification and control via neural networks,” in Proc. Contr. Syst. Inexact Dynamics Models, vol. 33, ASME Winter Annual Meeting, 1991.
    • (1991) Proc. Contr. Syst. Inexact Dynamics Models , vol.33
    • Sadegh, N.1
  • 33
    • 0026364098 scopus 로고
    • Stable adaptive control and recursive identification using radial gaussian networks
    • R. M. Sanner and J.-J. E. Slotine, “Stable adaptive control and recursive identification using radial gaussian networks,” in Proc. IEEE Conf. Decis. Contr., 1991.
    • (1991) Proc. IEEE Conf. Decis. Contr.
    • Sanner, R.M.1    Slotine, J.-J.E.2
  • 35
    • 0024103905 scopus 로고
    • Adaptive manipulator control: A case study
    • Nov.
    • J.-J. E. Slotine and W. Li, “Adaptive manipulator control: A case study,” IEEE Trans. Automat. Control, vol. 33, no. 11, pp. 995-1003, Nov. 1988.
    • (1988) IEEE Trans. Automat. Control , vol.33 , Issue.11 , pp. 995-1003
    • Slotine, J.-J.E.1    Li, W.2
  • 37
    • 0026897370 scopus 로고
    • Uniqueness of the weights for minimal feedforward nets with a given input-output map
    • H. J. Sussman, “Uniqueness of the weights for minimal feedforward nets with a given input-output map,” Neural Networks, vol. 5, pp. 589-593, 1992.
    • (1992) Neural Networks , vol.5 , pp. 589-593
    • Sussman, H.J.1
  • 38
    • 0024125983 scopus 로고
    • Backpropagation: Past and future
    • P. J. Werbos, “Backpropagation: Past and future,” in Proc. 1988 Int. Conf. Neural Nets, vol. 1, 1989, pp. 1343-1353.
    • (1989) Proc. 1988 Int. Conf. Neural Nets , vol.1 , pp. 1343-1353
    • Werbos, P.J.1
  • 39
    • 0026679616 scopus 로고
    • Neural network controller characteristics with regard to adaptive control
    • Jan.
    • T. Yabuta and T. Yamada, “Neural network controller characteristics with regard to adaptive control,” IEEE Trans. Syst., Man, Cybern., vol. 22, no. 1, pp. 170-176, Jan. 1992.
    • (1992) IEEE Trans. Syst. , vol.22 , Issue.1 , pp. 170-176
    • Yabuta, T.1    Yamada, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.