Page 277 - Autonomous Mobile Robots
P. 277
Adaptive Neural-Fuzzy Control of Mobile Robots 263
14. W. E. Dixon, D. M. Dawson, E. Zergeroglu, and A. Behal, Nonlinear Control
of Wheeled Mobile Robots, London: Springer-Verlag, 2001.
15. S. S. Ge, J. Wang, T. H. Lee, and G. Y. Zhou, “Adaptive robust stabilization of
dynamic nonholonomic chained systems,” J. Robot. Syst., 18, 119–133, 2001.
16. C. Y. Su and Y. Stepanenko, “Robust motion/force control of mechanical sys-
tems with classical nonholonomic constraints,” IEEE Trans. Automat. Contr.,
39, 609–614, 1994.
17. W. Dong and W. Huo, “Adaptive stabilization of uncertain dynamic nonholo-
nomic systems,” Int. J. Control, 72, 1689–1700, 1999.
18. A. Bloch, M. Reyhanoglu, and N. H. McClamroch, “Control and stabiliza-
tion of non-holonomic dynamic systems,” IEEE Trans. Automat. Contr., 37,
1746–1757, 1992.
19. G. Campion, B. d’Andrea Nobel, and G. Bastin, “Controllability and state
feedback stability of nonholonomic mechanical systems,” in Advanced Robot
Control (C. C. de Wit, ed.), pp. 106–124, New York: Springer-Verlag, 1991.
20. C. Y. Su, T. P. Leung, and Q. J. Zhou, “Force/motion control of constrained
robots using sliding mode,” IEEE Trans. Automat. Contr., 37, 668–672, 1992.
21. Z. P. Wang, S. S. Ge, and T. H. Lee, “Robust motion/force control of
uncertain holonomic/nonholonomic mechanical systems,” IEEE/ASME Trans.
Mechatronics, 9, 118–123, 2004.
22. F. Hong, S. S. Ge, and T. H. Lee, “Robust adaptive fuzzy control of uncertain
nonholonomic systems,” in Proceedings of IEEE International Symposium on
Intelligent Control (Taipei, Taiwan), pp. 192–197, 2004.
23. S. S. Ge, C. C. Hang, T. H. Lee, and T. Zhang, Stable Adaptive Neural Network
Control, Boston, MA: Kluwer Academic Publisher, 2002.
24. A. Yesildirek and F. L. Lewis, “Feedback linearization using neural networks,”
Automatica, 31, 1659–1664, 1995.
25. E. B. Kosmatopoulos, “Universal stabilization using control Lyapunov func-
tions, adaptive derivative feedback, and neural network approximator,” IEEE
Trans. Syst., Man, Cybern. B, 28, 472–477, 1998.
26. G. A. Rovithakis, “Stable adaptive neuro-control design via Lyapunov function
derivative estimation,” Automatica, 37, 1213–1221, 2001.
27. S. S. Ge, C. C. Hang, and T. Zhang, “Adaptive neural network control of
nonlinear systems by state and output feedback,” IEEE Trans. Syst., Man,
Cybern. B, 29, 818–828, 1999.
28. N. Hovakimyan, F. Nardi, A. Calise, and K. Nakwan, “Adaptive output feed-
back control of uncertain nonlinear systems using single-hidden-layer neural
networks,” IEEE Trans. Neural Networks, 13, 1420–1431, 2002.
29. F. L. Lewis and S. S. Ge, “Neural networks in feedback control systems,”
in Mechanical Engineer’s Handbook, New York: John Wiley, 2005.
30. J. Jang, C. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing, Upper
Saddle River, NJ: Prentice Hall, 1997.
31. L.X.Wang, AdaptiveFuzzySystemsandControl: DesignandStabilityAnalysis,
Englewood Cliffs, NJ: Prentice Hall, 1994.
32. S. S. Ge, T. H. Lee, and C. J. Harris, Adaptive Neural Network Control of
Robotic Manipulators, London: World Scientific, 1998.
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