Adaptive Motion Control via Flexible Joint Robot Model Linearization
Author:
Affiliation:
1. Dept. of Automation Science and Engineering, South China University of Technology, Tianhe District, Guangzhou, China
2. School of Automation, Guangdong University of Technology, Guangzhou, China
Funder
Science and Technology Planning Project of Guangdong award number(s):
the Science and Technology Planning Project of Guangzhou award number(s):
National Nature Science Foundation of China award number(s):
Publisher
ACM Press
Reference13 articles.
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2. H. S. Ramirez, S. Ahmad and M. Zribi. Dynamical feedback control of robotic manipulators with joint flexibility. IEEE Trans. Syst., Man, Cybern., vol. 22, no. 4, pp. 736--747, 1992
3. S. Nicosia and P.Tomei, A tracking controller for flexible-joint robots using only link position feedback. IEEE Trans. Autom. Control, vol. 40, no. 5, pp. 885--890, May 1995
4. P. P. Yip and J. K. Hedrick. Adaptive dynamic surface control: A simplified algorithm for adaptive backstepping control of nonlinear systems. Int. J. Control, vol. 71, no. 5, pp. 959--979, 1998
5. D. Wang and J. Huang. Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form. IEEE Trans. Neural Netw., vol. 16, no. 1, pp. 195--202, 2005
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