Journal of Engineering and Applied Sciences

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Direct Adaptive Control of Nonlinear Systems Using Radial Basis Function Network

M. Bahita and K. Belarbi
Page: 262-267 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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.

How to cite this article:

M. Bahita and K. Belarbi . Direct Adaptive Control of Nonlinear Systems Using Radial Basis Function Network.
DOI: https://doi.org/10.36478/jeasci.2006.262.267
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2006.262.267