介绍变量带误差(EIV)系统的递推辨识方法.在引言中扼要介绍了EIV系统辨识的现状后,分别对多变量线性EIV系统及EIV Hammerstein 系统给出了递推辨识算法,并给出条件使这些估计以概率1收敛到真值.最后提出了一些值得进一步研究的问题.

The recursive identification methods for errors-in-variables (EIV) systems are described in the paper. After briefly introducing the current status of  dentification for EIV systems, the recursive identification algorithms for the multivariate linear EIV system as well as for the EIV Hammerstein system are presented. The conditions guaranteeing the strong consistency of the estimates given by the algorithms are demonstrated. Finally, some remarks on problems for future research are pointed out.