Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/71645
Title: | Robust adaptive control for a class of nonlinear systems using neural networks | Authors: | Tan, K.K. Huang, S.N. Lee, T.H. |
Keywords: | Adaptive control Neural network Nonlinear systems Robust control |
Issue Date: | 2004 | Citation: | Tan, K.K.,Huang, S.N.,Lee, T.H. (2004). Robust adaptive control for a class of nonlinear systems using neural networks. 2004 International Conference on Communications, Circuits and Systems 2 : 1086-1089. ScholarBank@NUS Repository. | Abstract: | In this paper, the adaptive control problem Is studied for a class of nonlinear systems in the presence of non-a.ne uncertainties. By mploying the Radial Basis Functions (RBFs), a correction control signal is added to a nominal controller to render the actual system bounded. | Source Title: | 2004 International Conference on Communications, Circuits and Systems | URI: | http://scholarbank.nus.edu.sg/handle/10635/71645 | ISBN: | 0780386477 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.