Abstract: A novel algorithm on internal model control based on gaussian potential function networks (GPFN) is presented. The internal model and internal model controller respectively represented by gaussian potential function networks are deeply analyzed and real-time control experiments are alsomade in detail. The control results show that the proposed algorithm has better properties in term of adaptive method and robustness and can be introduced to time delay systems, nonlinear systems and time varying systems.