Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54922
Title: Adaptive neuro-fuzzy controller design for non-affine nonlinear systems
Authors: Jia, L.
Ge, S.-Z. 
Qiu, M.-S.
Keywords: Adaptive control
Neuro-fuzzy systems
Non-affine nonlinear systems
Issue Date: 2008
Source: Jia, L.,Ge, S.-Z.,Qiu, M.-S. (2008). Adaptive neuro-fuzzy controller design for non-affine nonlinear systems. Journal of Donghua University (English Edition) 25 (4) : 389-394. ScholarBank@NUS Repository.
Abstract: An adaptive neuro-fuzzy control is investigated for a class of non-affine nonlinear systems. To do so, rigorous description and quantification of the approximation error of the neuro-fuzzy controller are firstly discussed. Applying this result and Lyapunov stability theory, a novel updating algorithm to adapt the weights, centers, and widths of the neuro-fuzzy controller is presented. Consequently, the proposed design method is able to guarantee the stability of the closed-loop system and the convergence of the tracking error. Simulation results illustrate the effectiveness of the proposed adaptive neuro-fuzzy control scheme.
Source Title: Journal of Donghua University (English Edition)
URI: http://scholarbank.nus.edu.sg/handle/10635/54922
ISSN: 16725220
Appears in Collections:Staff Publications

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