Open Science Research Excellence
%0 Journal Article
%A R. Ghasemi and  M. R. Rahimi Khoygani
%D 2014 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 95, 2014
%T Designing Intelligent Adaptive Controller for Nonlinear Pendulum Dynamical System
%U http://waset.org/publications/10000039
%V 95
%X This paper proposes the designing direct adaptive
neural controller to apply for a class of a nonlinear pendulum
dynamic system. The radial basis function (RBF) neural adaptive
controller is robust in presence of external and internal uncertainties.
Both the effectiveness of the controller and robustness against
disturbances are importance of this paper. The simulation results
show the promising performance of the proposed controller.

%P 2026 - 2030