Chaos control of fractional order Chen system via radial basis function neural network
分数阶Chen混沌系统的径向基函数神经滑模控制

A radial basis function(RBF) neural network sliding mode controller for fractional order Chen system with parametric perturbation and external disturbances is presented. The sliding surface is designed as the only input to the RBF neural network and the weights of the network can be adjusted on-line according to the reaching law. Based on the Lyapunov stability theorem, we performed the stability analysis for the controller. The simulation results show that the proposed method simplifies the complex structu...