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Volumn 7, Issue , 2001, Pages 359-368

Neural network application to optimal control of nonlinear systems

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION; FINITE DIFFERENCE METHOD; FUNCTIONS; LEARNING ALGORITHMS; MULTIVARIABLE SYSTEMS; NONLINEAR SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; ROBOTS;

EID: 8744226709     PISSN: 14626055     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 2
    • 0026880820 scopus 로고
    • A minimum-time trajectory planning method for two robots
    • Bien, Z. & Lee, J., A minimum-time trajectory planning method for two robots, IEEE Trans. Robot. Automat., 8(3), pp. 414-418, 1992.
    • (1992) IEEE Trans. Robot. Automat. , vol.8 , Issue.3 , pp. 414-418
    • Bien, Z.1    Lee, J.2
  • 3
    • 0028387026 scopus 로고
    • Collision avoidance of two robot manipulators by minimum delay time
    • Chang, C., Chung, M. J. & Lee, B. H., Collision avoidance of two robot manipulators by minimum delay time, IEEE Trans. Syst., Man, Cybern., 24(3), pp. 517-522, 1994.
    • (1994) IEEE Trans. Syst., Man, Cybern , vol.24 , Issue.3 , pp. 517-522
    • Chang, C.1    Chung, M.J.2    Lee, B.H.3
  • 4
    • 0026941192 scopus 로고
    • Minimum-time collision-free trajectory planning for dual-robot systems
    • Shin, K. G. & Zheng, Q., Minimum-time collision-free trajectory planning for dual-robot systems, IEEE Trans. Robot. Automat., 8(6), pp. 641-644, 1992.
    • (1992) IEEE Trans. Robot. Automat. , vol.8 , Issue.6 , pp. 641-644
    • Shin, K.G.1    Zheng, Q.2
  • 8
    • 0025503558 scopus 로고
    • Backpropagation through time: what it does and how to do it
    • Werbos, P. J., Backpropagation through time: What it does and how to do it, Proc. IEEE, 78(10), pp. 1550-1560, 1990.
    • (1990) Proc. IEEE , vol.78 , Issue.10 , pp. 1550-1560
    • Werbos, P.J.1
  • 9
    • 0029375851 scopus 로고
    • Gradient calculations for dynamic recurrent neural networks: a survey
    • Pearlmutter, B. A., Gradient Calculations for Dynamic Recurrent Neural Networks: A Survey, IEEE Trans. on Neural Networks, 6(5), pp. 1212-1228, 1995.
    • (1995) IEEE Trans. on Neural Networks , vol.6 , Issue.5 , pp. 1212-1228
    • Pearlmutter, B.A.1
  • 10
    • 0029183826 scopus 로고
    • Gradient Descent Learning Algorithm Overviev: A General Dynamical Systems Perspective
    • Baldi, P., Gradient Descent Learning Algorithm Overviev: A General Dynamical Systems Perspective, IEEE Trans. on Neural Networks, 6(1), pp. 182-195, 1995.
    • (1995) IEEE Trans. on Neural Networks , vol.6 , Issue.1 , pp. 182-195
    • Baldi, P.1
  • 12
    • 0001317823 scopus 로고    scopus 로고
    • Diagrammatic derivation of gradient algorithms for neural networks
    • Wan, E. & Beaufays, F., Diagrammatic Derivation of Gradient Algorithms for Neural Networks, Neural Computation, 8(1), pp. 182-201, 1996.
    • (1996) Neural Computation , vol.8 , Issue.1 , pp. 182-201
    • Wan, E.1    Beaufays, F.2
  • 13
    • 0028401356 scopus 로고
    • Steepest descent algorithms for neural network controllers and filters
    • Piche, S. W., Steepest Descent Algorithms for Neural Network Controllers and Filters, IEEE Trans. on Neural Networks, 5(2), pp. 198-212, 1994.
    • (1994) IEEE Trans. on Neural Networks , vol.5 , Issue.2 , pp. 198-212
    • Piche, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.