[1]Kermani M, Wong M, Patel R, et al. Friction Com- pensation in Low and High- Reversal- Velocity Manipulators[C]//Proc. ICRA'04,2004 IEEE Int. Conf. on Robotics and Automation. New Orleans, 2004:4320-4325.
[2]Basilio Bona,Marina Indri. Friction Compensation in Robotics:an Overview[C]//Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005. Seville, Spain, 2005:4360-4367.
[3]Kosko B. Neural Networks and Fuzzy System[M]. New Jersey: Prentice- Hall, 1992.
[4]谢友柏.摩擦学的三个公理[J].摩擦学学报,2001,21(3):161-166.
[5]de Wit C C, Olsson H,Astrom K J, et al. A New Model for Control of Systems with Friction[J]. IEEE Transactions on Automatic Control, 1995,40 (3) :419-425.
[6]Bliman P A. Mathematical Study of the Dahl's Fric- tion Model[J]. Eur. J. Mech.,1992,11(6):835- 848.
[7]Armstrong B,Dupont P,Canudas de Wit C. A Sur- vey of Models, Analysis Tools and Compensation Methods for the Control of Machines with Friction [J]. Automatica, 1994,30(7) : 1038-1183.
[8]Dupont P,Armstrong B, Hayward V. Elasto-Plas- tic Friction Model:Contact Compliance and Stiction[C]//Proceedings of ACC 2000. Chicago, 2000: 1072-1077.
[9]Kermani M R, Patel R V, Moallem M. Friction Iden- tification and Compensation in Robotic Manipulators [J]. IEEE Transactions on Instrumentation and Measurement, 2007,56 (6) :2346-2353.
[10]Haessig D A, Fliedland B. On the Modeling and Simulation of Friction[J]. ASME Journal of Dy- namic Systems Measurement and Control, 1991, 113(3) : 354-362.
[11]Ge S S,Lee T H,Harris C J. Adaptive Neural Net- work Control of Robotic Manipulators [M]. London: World Scientific, 1998. |