An ICA approach to semi‐blind identification of strictly proper systems based on interactor polynomial matrix
An ICA approach to semi‐blind identification of strictly proper systems based on interactor polynomial matrix
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DOI：
10.1002/rnc.1131
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发表时间：
2007-05
影响因子：
3.9
通讯作者：
J. Even;Kenji Sugimoto
中科院分区：
文献类型：
--
作者：
J. Even;Kenji Sugimoto
本文提出了一种输入信号部分未知但相互独立的严格真系统的辨识方法。由于独立分量分析(ICA)的最新进展，借助于有限脉冲响应(FIR)近似来识别具有未知输入的双适当系统已经成为可能。借助于交互作用多项式矩阵，将已有的方法推广到严格真系统。将该方法进一步推广到某些输入分量已知的情况，这在控制工程中是常见的情况。版权所有©2006 John Wiley&Sons，Ltd.
This paper presents an identification method for strictly proper systems with input signals partially unknown but mutually independent. Due to recent progress in independent component analysis (ICA), it has been feasible to identify biproper systems with unknown inputs by resorting to a finite impulse response (FIR) approximation. By means of an interactor polynomial matrix, the paper generalizes the existing method to strictly proper systems. The method is further generalized to the case where some input components are known, which is often the case in control engineering. Copyright © 2006 John Wiley & Sons, Ltd.