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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 | 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 |
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