Local Modeling Algorithm Based on Similarity of Vector

摘要：

　　A mutli-model modeling method based on local model is given.The modeling idea is firstly to find some data matching with the current working point from vast historical system input-output datasets,and in this paper,we give a new method of choose data information based on similarity of vector which improve the accuracy of data greatly.Secondly to choose the weight and optimum bandwidth then develop a local model using local polynomial fitting algorithm.With the change of working points,multiple local models are built.The effectiveness of the proposed method is demonstrated by simulation results.

关键词： Nonlinear system Multi-model Neighborhood vector

作者: Jing Zeng Jun Wang Jin-yu Guo

作者单位: School of Information Engineering,Shenyang University of Chemical Technology,110142,China School of Computer,Shenyang University of Chemical Technology,110142

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1060-1064

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）