Synchronization of Ghostburster neurons via iterative learning control

In this paper, we use the iterative learning control (ILC) algorithm to study the synchronization control of two Ghostburster neurons which are stimulated by two different external stimulus currents. At first, the periodic dynamic and chaos dynamic of two Ghostburster neurons are analyzed, which are stimulated by two situations of external stimulus currents. Then we design a kind of ILC controller to make two Ghostbruster neurons synchronized. After the control is implemented, the results shows that the slave system can catch up with the master system rapidly. The simulation results given in this paper confirm the feasibility and effectiveness of control algorithm.