Least squares identification of time varying parameters: Issues and trends

被引:0
|
作者
Bittanti, S [1 ]
Campi, MC [1 ]
机构
[1] Politecn Milan, Dipartimento Elettr & Informat, I-20133 Milan, Italy
来源
(SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3 | 1998年
关键词
adaptive identification; recursive least squares; forgetting factor; estimation error;
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
In this paper, we review the literature on time varying system identification with particular emphasis placed on the recursive least squares method with forgetting factor. Even though the subject of identification of varying systems has been intensively studied over the last two decades, many problems still remain open. Herein, we revisit the most important results appeared in the literature and point out some issues which have not yet found a satisfectory solution and are therefore worthy to be considered in future investigations.
引用
收藏
页码:1667 / 1672
页数:6
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