:A New Method for Identifying Errors-In-Variables System Models论文

:A New Method for Identifying Errors-In-Variables System Models论文

本文主要研究内容

作者(2019)在《A New Method for Identifying Errors-In-Variables System Models》一文中研究指出:We study the problem of system identification for the errors-in-variables(EIV) model, based on noisy input and output measurement data, without assuming equal noise variances at the system input and o

Abstract

We study the problem of system identification for the errors-in-variables(EIV) model, based on noisy input and output measurement data, without assuming equal noise variances at the system input and o

论文参考文献

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  • [2].Local Polynomial Approach for Identification of Nonparametric Nonlinear Systems: One Dimensional Case[A]. ZHAO Wenxiao.第35届中国控制会议论文集(B)[C]. 2016
  • [3].Incremental Recursive Least-squares Identification for the Systems under Poor Observation Condition[A]. Han Zhou,Guangpeng Ma,Guangming Yan,Xiaojun Sun.第31届中国控制与决策会议论文集(2)[C]. 2019
  • 论文详细介绍

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