Adaptive inverse control for a class of chaotic systems based on support vector machines
基于支持向量机的一类混沌系统自适应逆控制

A new chaos control method based on support vector machines(SVM)of adaptive inverse control is proposed which has excellent nonlinearity approximation ability and better generalization capability.In this control mechanism,an identifier is established based on support vector regression,and under the inverse condition of control process a controller based on support vector regression also designed.Simulation results also show that under proposed method,uncertain Lorenz system with measurement noise can drive the system state exactly to some specific points.