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.





                              © 2006 by Taylor & Francis Group, LLC



                                 FRANKL: “dk6033_c006” — 2006/3/31 — 16:42 — page 263 — #35
   272   273   274   275   276   277   278   279   280   281   282