Please use this identifier to cite or link to this item: https://doi.org/10.1109/.2005.1467029
Title: Adaptive neuro-fuzzy control of non-affine nonlinear systems
Authors: Jia, L. 
Ge, S.S. 
Chiu, M.-S. 
Keywords: Adaptive control
Neuro-fuzzy systems
Non-affine nonlinear systems
Issue Date: 2005
Source: Jia, L.,Ge, S.S.,Chiu, M.-S. (2005). Adaptive neuro-fuzzy control of non-affine nonlinear systems. Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05 2005 : 286-291. ScholarBank@NUS Repository. https://doi.org/10.1109/.2005.1467029
Abstract: In this paper, an adaptive neuro-fuzzy controller is investigated for a class of non-affine nonlinear systems. Firstly, rigorous description and quantification of the approximation error of the neuro-fuzzy controller are discussed. Then a novel updating algorithm to adapt the weights, centers, and widths of the neuro-fuzzy controller is presented based on Lyapunov stability theory. It is shown that the proposed design method is able to guarantee the stability of the closed-loop system and the convergence of the tracking error. Finally, simulation results illustrate the effectiveness of the proposed adaptive neuro-fuzzy control scheme. ©2005 IEEE.
Source Title: Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
URI: http://scholarbank.nus.edu.sg/handle/10635/51106
ISBN: 0780389360
DOI: 10.1109/.2005.1467029
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