A model-following adaptive controller using radial basis function networks

T. Ibayashi, Tetsuya Hoya, Yoshihisa Ishida

Published: 17 Sept 2002, Last Modified: 04 May 2025Proceedings of the International Conference on Control ApplicationsEveryoneCC BY 4.0
Abstract: In this paper, we propose a method to design a model-following adaptive controller using radial basis function networks (RBF-NNs). The method is very simple to implement by exploiting the properties of RBF-NNs. The proposed method identifies linear or nonlinear plants and implements a stable model-following adaptive controller by utilizing identification results. Simulation results show the effectiveness of the proposed control schemes.