摘要
This paper concerns the identification problem of scalar errors-in-variables(EIV)systems with general nonlinear output observations and ARMA observation noises.Under independent and identically distributed(i.i.d.)Gaussian inputs with unknown variance,recursive algorithms for estimating the parameters of the EIV systems are presented.For general nonlinear observations,conditions on the system are imposed to guarantee the almost sure convergence of the estimates.A simulation example is included to justify the theoretical results.
基金
supported by the National Natural Science Foundation of China under Grant No.11571362.
作者简介
SONG Qijiang,,Email:sqj@ruc.edu.cn;Corresponding author:HUANG Zhiyong,huangzhiy@ruc.edu.cn.
