Duffing Chaotic System Control Based on RBF Neural Network
ZHOU Qunli;School of Electrical Engineering,Wuhu Institute of Technology;
The control method based on RBF neural network is adopted to control Duffing chaotic system. The nonlinear terms of controlled Duffing system's dynamic equation are adaptly approached by RBF neural network. In order to ensure the premise of the equilibrium at the origin of the controlled system is asymptotically stable,the corresponding control law and the adaptive control law are designed,for which the state variables of the system can stably converge to the target value in a short period of time. The simulations results show that the method is effective.