Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72465
Title: Adaptive NN control of dynamic systems with unknown dynamic friction
Authors: Ge, S.S. 
Lee, T.H. 
Wang, J. 
Issue Date: 2000
Source: Ge, S.S.,Lee, T.H.,Wang, J. (2000). Adaptive NN control of dynamic systems with unknown dynamic friction. Proceedings of the IEEE Conference on Decision and Control 2 : 1760-1765. ScholarBank@NUS Repository.
Abstract: In this paper, based on the dynamic LuGre friction model, adaptive NN controllers are presented by using neural networks to parameterize the unknown characteristic function α(x, ẋ) or the unknown dynamic friction bounding function respectively. Using Lyapunov synthesis, the adaptive control algorithms are designed to achieve globally asymptotic tracking of the desired trajectory and guarantee the boundedness of all the signals in the closed-loop. Intensive simulations are carried out to verify the effectiveness of the proposed methods.
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/72465
ISSN: 01912216
Appears in Collections:Staff Publications

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