TY  - JOUR
T1  - Direct Adaptive Control of Nonlinear Systems Using Radial Basis Function Network
AU - , M. Bahita AU - , K. Belarbi 
JO  - Journal of Engineering and Applied Sciences
VL  - 1
IS  - 3
SP  - 262
EP  - 267
PY  - 2006
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2006.262.267
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2006.262.267
KW  - Radial Basis Function network
KW  -adaptive control
KW  -nonlinear systems
AB  - 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.
ER  -