%0 Journal Article %A Yuichi Masukake and Yoshihisa Ishida %D 2007 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 11, 2007 %T A Model-following Adaptive Controller for Linear/Nonlinear Plantsusing Radial Basis Function Neural Networks %U https://publications.waset.org/pdf/6706 %V 11 %X In this paper, we proposed a method to design a model-following adaptive controller for linear/nonlinear plants. Radial basis function neural networks (RBF-NNs), which are known for their stable learning capability and fast training, are used to identify linear/nonlinear plants. Simulation results show that the proposed method is effective in controlling both linear and nonlinear plants with disturbance in the plant input. %P 3419 - 3422