A. Delibaşi, E. Zergeroglu, I.B. Küçükdemiral, and G. Cansever
[1] R. Ortega & M. Spong, Adaptive motion control of rigid robots:A Tutorial, Automatica, 25(6), 1989, 877-888. [2] S.S. Ge, Advanced control techniques of robot manipulators,Proc. 1998 American Control Conf., Philadelphia, 1998, 2185–2199. [3] T.C. Hsia, Adaptive control of robot manipulators: A review,Proc. IEEE Conf. on Robotics and Automation, San Francisco,USA, 1986. [4] J. Craig, P. Hsu, & S. Sastry, Adaptive control of mechanicalmanipulators, IEEE Conf. on Robotics and Automation, SanFrancisco, USA, 1986, 190–195. [5] J.J.E. Slotine & W. Li, Adaptive manipulator control: A casestudy, IEEE Transactions on Automatic Control, 33, 1988,995–1003. [6] J.J.E. Slotine, Putting physics in control: The Example ofRobotics, Controls Systems Magazine, 8, 1988, 12–17.54 [7] N. Sadegh & R. Horowitz, Stability and robustness analysisof a class of adaptive controllers for robotic manipulators,International Journal of Robotic Research, 9(9), 1990, 74–92. [8] M. de Queiroz, D. Dawson, & T. Burg, Reexamination ofthe DCAL controller for rigid link robots, Robotica, 14, 1996,41–49. [9] M. Krstic, I. Kanellakopoulos, & P. Kokotovic, Nonlinear andadaptive control design, (New York: John Wiley and Sons,Inc., 1995). [10] R. Johansson, Adaptive control of robot manipulator motion,IEEE Transactions on Robotics and Automation, 6, 1990,483–490. [11] R. Middleton & C. Goodwin, Adaptive computed torque controlfor rigid link manipulators, Systems Control Letters, 10, 1988,9–16. [12] J. Slotine & W. Li, Composite adaptive control of robotmanipulators, Automatica, 25(4), 1989, 509–519. [13] R. Lozano Leal & C. Canudas de Wit, Passivity based adaptivecontrol for mechanical manipulators using LS-type estimation,IEEE Transactions on Automatic Control, 35(12), 1990, 1363–1365. [14] N. Sadegh & R. Horowitz, An exponentially stable adaptivecontrol law for robot manipulators, IEEE Transactions onRobotics and Automation, 6(4), 1990, 491–496. [15] Y. Tang & M. Arteaga, Adaptive control of robot manipulatorsbased on passivity, IEEE Transactions on Automatic Control,39(9), 1994, 1871–1875. [16] G. Ambrosino, G. Celentano, & F. Garofalo, Variable struc-ture model reference adaptive control systems, InternationalJournal of Control, 39, 1984, 1339–1349. [17] L. Hsu & R.R. Costa, Variable structure model referenceadaptive control using only input and output measurements –Part I, International Journal of Control, 49, 1989, 399–416. [18] M.A. Arteaga & Y. Tang, Adaptive control of robots withan improved transient performance, IEEE Transactions onAutomatic Control, 47, 2002, 1198–1202. [19] C.M. Liaw & F.J. Lin, “Position control with fuzzy adaptationfor induction servo drives , IEE Proc. Electr. Power Appl, 142,1995, 397–404. [20] D.L. Tsay, H.Y. Chung, & C.J. Lee, The adaptive controlof nonlinear systems using Sugeno type of fuzzy logic, IEEETransactions of Fuzzy Systems, 17, 1999, 225–229. [21] R.J. Wai, C.M. Lin, & C.F. Hsu, Adaptive fuzzy sliding modecontrol for electrical servo drive, Fuzzy Sets and Systems, 143,2004, 295–310. [22] A. Yesildirek & F.L. Lewis, Feedback linearization using neuralnetwork, Automatica, 31(11), 1995, 1659–1664. [23] M.W. Spong & M. Vidyasagar, Robot Dynamics and Control,(New York: John Wiley and Sons, Inc., 1989). [24] F.L. Lewis, C.T. Abdallah, & D.M. Dawson, Control of RobotManipulators, (New York: Macmillan Publications, 1993). [25] W.E. Dixon, E. Zergeroglu, D.M. Dawson, & B.T. Costic,Repetitive learning control: A lyapunov-based approach, IEEETransactions on Systems Man, and Cybernetics – Part B:Cybernetics 32(4), 2002, 538–545. [26] A. Delibasi, I.B. Kucukdemiral, & G. Cansever, A novel vari-able structure based adaptive control with disturbance estima-tion, 2006 American Control Conf. (ACC 2006), Minneapolis,Minnesota, USA, June 14–16, 2006, 4782–4787. [27] Direct Drive Manipulator Research and Development PackageOperations Manual, Integrated Motion Inc., Berkeley, USA,1992.
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