Identi fication of Hammerstein Models Based on Online Support Vector Regression

摘要：

This paper presents a method for the identi fication of Hammerstein models based on online Support Vector Regression (OSVR).First,the intermediate linear model was established through converting the nonlinear equations of Hammerstein to a class of linear one by the function expansion.Second,training samples for intermediate linear model were obtained by operating measured data synthetically,and coef ficients of the intermediate model were obtained by the OSVR algorithm.Then,through the relations of the coef ficients of intermediate model and that of Hammerstein model,the nonlinear static part and linear dynamic part were identi fied simultaneously.Finally,the ef ficiency of the proposed algorithm was demonstrated by simulation examples.

作者: WANG Xianfang ZHENG Yanbin ZHANG Haiyan

作者单位: School of Computer and Information Technology,Henan Normal University,Xinxiang 453007,P.R.China School of Information and Engineering,Henan Institute of Science and Technology,Xinxiang 453003,P.R.

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）