Please use this identifier to cite or link to this item: http://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
Source: 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

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