Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72459
Title: Adaptive control of non-affine nonlinear systems using neural networks
Authors: Ge, S.S. 
Lee, T.H. 
Wang, J. 
Issue Date: 2000
Source: Ge, S.S.,Lee, T.H.,Wang, J. (2000). Adaptive control of non-affine nonlinear systems using neural networks. IEEE International Symposium on Intelligent Control - Proceedings : 13-18. ScholarBank@NUS Repository.
Abstract: In this paper, an adaptive control approach is presented for a class of non-affine nonlinear systems using neural networks and sliding mode control. Firstly, it is shown that the control of non-affine nonlinear system is equivalent to the control of the affine nonlinear system in the neighborhood of the operating trajectory under mild conditions. Then, an adaptive neural sliding mode controller is designed for the transformed nonlinear system. The proposed neural sliding mode controller can guarantee that the output tracking error of the system asymptotically converges to zero. Simulation results illustrate the effectiveness of the scheme.
Source Title: IEEE International Symposium on Intelligent Control - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/72459
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