摘要
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.
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.
基金
Shanghai Leading Academic Discipline Project,Project Number T0103
Shanghai Municipal Education Commission Project,Project Number:05AZ22
