Page 832 - Mechanical Engineers' Handbook (Volume 2)

References 823

54. F. Albertini and E. D. Sontag, ‘‘For Neural Nets, Function Determines Form,’’ Proceedings of the
IEEE Conference Decision and Control, December 1992, pp. 26–31.
55. N. Sadegh, ‘‘A Perceptron Network for Functional Identification and Control of Nonlinear Sys-
tems,’’ IEEE Transactions on Neural Networks 4(6), 982–988 (1993).
56. M. M. Polycarpou and P. A. Ioannou, ‘‘Identification and Control Using Neural Network Models:
Design and Stability Analysis,’’ Technical Report 91-09-01, Dept. Elect. Eng. Sys., University of
Southern California, Los Angeles, CA, September 1991.
57. M. M. Polycarpou and P. A. Ioannou, ‘‘Neural Networks as On-Line Approximators of Nonlinear
Systems,’’ in Proceedings of the IEEE Conference on Decision and Control, Tucson, December
1992, pp. 7–12.
58. A. R. Barron, ‘‘Universal Approximation Bounds for Superpositions of a Sigmoidal Function,’’
IEEE Transactions on Information Theory 39(3), 930–945 (1993).
59. F.-C. Chen and H. K. Khalil, ‘‘Adaptive Control of Nonlinear Systems Using Neural Networks,’’
International Journal of Control, 55(6), 1299–1317 (1992).
60. F. L. Lewis, A. Yesildirek, and K. Liu, ‘‘Multilayer Neural Net Robot Controller with Guaranteed
Tracking Performance,’’ IEEE Transactions on Neural Networks, 7(2), 388–399 (1996).
61. S. Jagannathan and F. L. Lewis, ‘‘Multilayer Discrete-Time Neural Net Controller with Guaranteed
Performance,’’ IEEE Transactions on Neural Networks 7(1), 107–130 (1996).
62. M. M. Polycarpou, ‘‘Stable Adaptive Neural Control Scheme for Nonlinear Systems,’’ IEEE Trans-
actions on Automatic Control 41(3), 447–451 (1996).
63. G. A. Rovithakis and M. A. Christodoulou, ‘‘Adaptive Control of Unknown Plants Using Dynamical
Neural Networks,’’ IEEE Transactions on Systems, Man, and Cybernetics 24(3), 400–412 (1994).
64. A. S. Poznyak, E. N. Sanchez, and W. Yu, Differential Neural Networks for Robust Nonlinear
Control, World. Scientific, Singapore, 2001.
65. G. A. Rovithakis, ‘‘Performance of a Neural Adaptive Tracking Controller for Multi-Input Nonlin-
ear Dynamical Systems,’’ IEEE Transactions on Systems, Man, and Cybernetic, Part A 30(6), 720–
730, (2000).
66. Y. Zhang and J. Wang, ‘‘Recurrent Neural Networks for Nonlinear Output Regulation,’’ Automatica
37(8), 1161–1173 (2001).
67. C. Kwan, D. M. Dawson, and F. L. Lewis, ‘‘Robust Adaptive Control of Robots Using Neural
Network: Global Stability,’’ Asian Journal of Control 3(2), 111–121 (2001).
68. J. Leitner, A. J. Calise, and J. V. R. Prasad, ‘‘Analysis of Adaptive Neural Networks for Helicopter
Flight Control,’’ Journal of Guidance, Control, and Dynamics 20(5), 972–979 (1997).
69. M. B. McFarland and A. J. Calise, ‘‘Adaptive Nonlinear Control of Agile Anti-Air Missiles Using
Neural Networks,’’ IEEE Transactions on Control Systems Technology 8(5), 749–756 (2000).
70. A. Yesildirek and F. L. Lewis, ‘‘Feedback Linearization Using Neural Networks,’’ Automatica
31(11), 1659–1664 (1995).
71. G. Arslan and T. Basar, ‘‘Disturbance Attenuating Controller Design for Strict-Feedback Systems
with Structurally Unknown Dynamics,’’ Automatica 37(8), 1175–1188 (2001).
72. D. Wang and J. Huang, ‘‘Neural Network Based Adaptive Tracking of Uncertain Nonlinear Systems
in Triangular Form,’’ Automatica 38, 1365–1372 (2002).
73. K. S. Narendra and J. Balakrishnan, ‘‘Adaptive Control Using Multiple Models,’’ IEEE Transactions
on Automatic Control 42(2) 171–187 (1997).
74. R. Padhi, S. N. Balakrishnan, and T. Randolph, ‘‘Adaptive-Critic Based Optimal Neuro Control
Synthesis for Distributed Parameter Systems,’’ Automatica 37(8), 1223–1234 (2001).
75. A. S. Poznyak and L. Ljung, ‘‘On-Line Identification and Adaptive Trajectory Tracking for Non-
linear Stochastic Continuous Time Systems Using Differential Neural Networks,’’Automatica 37(8),
1257–1268 (2001).
76. T. Parisini, M. Sanguineti, and R. Zoppoli, ‘‘Nonlinear Stabilization by Receding-Horizon Neural
Regulators,’’ International Journal of Control 70, 341–362 (1998).
77. T. Parisini and S. Sacone, ‘‘Stable Hybrid Control Based on Discrete-Event Automata and Reced-
ing-Horizon Neural Regulators,’’ Automatica 37(8), 1279–1292 (2001).
78. F.-C. Chen and C.-H. Chang, ‘‘Practical Stability Issues in CMAC Neural Network Control Sys-
tems,’’ IEEE Transactions on Control Systems Technology, 4(1), 86–91 (1996).
79. L. B. Gutierrez and F. L. Lewis, ‘‘Implementation of a Neural Net Tracking Controller for a Single
Flexible Link: Comparison with PD and PID Controllers,’’ IEEE Transactions on Industrial Elec-
tronics 45(2), 307–318 (1998).