摘要
本文研究了基于支持向量机回归自适应逆控制的混沌控制方法,用支持向量机建立系统的辨识器,同时在控制过程可逆的条件下设计基于支持向量回归的系统逆控制器.将该自适应逆控制的方法应用于Lorenz混沌系统的控制,仿真结果表明在系统带有不确定性和测量噪声的情况下,该方法可以有效的将混沌系统的状态控制到给定状态.
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.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2007年第5期761-765,共5页
Control Theory & Applications
基金
高等学校博士学科点专项科研基金资助项目(20040700010)
陕西省教育厅自然科学专项基金项目(055JK267)
关键词
混沌控制
支持向量机
支持向量回归
自适应逆控制
chaos control
support vector machines
support vector regression
adaptive inverse control
