Identification of linear parameter varying models using Kalman filtering

被引：0
|
作者：
Lovera, M [1 ]
Previdi, F [1 ]
机构：
[1] Politecn Milan, Dipartimento Elettr & Informazione, I-20133 Milan, Italy
来源：
ADAPTATION AND LEARNING IN CONTROL AND SIGNAL PROCESSING 2001 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of estimating affine linear parametrically varying models is considered. An algorithm based on a Kalman filtering approach is proposed and its performance evaluated in a simulation study. Copyright (C) 2001 IFAC.
引用
收藏
页码：395 / 399
页数：5
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