Please use this identifier to cite or link to this item:
|Title:||Adaptive neuro-fuzzy control of non-affine nonlinear systems||Authors:||Jia, L.
Non-affine nonlinear systems
|Issue Date:||2005||Citation:||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|
|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.