Authors : M. Bahita and K. Belarbi
Abstract: In this study we propose a direct adaptive control scheme for a class of nonlinear systems. The architecture is based on radial basis functions, RBF, network to construct the adaptive controller. The parameters of the adaptive controller are changed according to a law derived using Lyapunov stability theory and the center of the of the RBF are adapted using the k-means algorithm. Asymptotic stability is established with the tracking errors converging to a neighborhood of the origin. Computer simulations are presented to show the validity and the performance of the proposed method.
M. Bahita and K. Belarbi , 2006. Direct Adaptive Control of Nonlinear Systems Using Radial Basis Function Network. Journal of Engineering and Applied Sciences, 1: 262-267.