Adaptive Neuro-fuzzy Controller Design for Non-affine Nonlinear Systems

作者：JIA Li GE Shu zhi QIU Ming sen Shanghai Key Laboratory of Power Station Automation Technology College of Machatronics Engineering and Automation Shanghai University Shanghai China Department of Electrical & Computer Engineering National University of Singapore Singapore Department of Chemical & Biomolecular Engineering National University of Singapore Singapore

来源：Journal of Dong Hua University (english Edition), 2008, (04): 389-394.

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.

• 出版日期2008-8-15
• 单位上海大学