Recursive Identification for Semiparametric Multi-channel Wiener Systems

摘要：

　　Recursive identification for semiparametric multi-channel Wiener systems is considered in the paper.Based on stochastic approximation,the recursive estimates are given for coefficients of each linear subsystem and the weighed coefficient with the help of the average derivative approach,then recursive nonparametric estimate is derived for the system nonlinearity by using kernel method.All estimates are recursive and are proved to be strongly consistent under reasonable conditions.

关键词： Multi-Channel Wiener System Semiparametric Estimation Recursive Identification Stochastic Approximation Kernel Estimation

作者: Xing-Min Chen

作者单位: School of Mathematical Sciences,Dalian University of Technology,Dalian 116024,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 6786-6791

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）