Decomposition based least squares estimation algorithm for non-uniformly sampled multirate systems

被引：0
|
作者：
Liu, Yanjun [1 ]
Ding, Feng [1 ]
机构：
[1] Jiangnan Univ, Sch Commun & Control Engn, Wuxi 214122, Peoples R China
来源：
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年
关键词：
DUAL-RATE SYSTEMS; OUTPUT ESTIMATION; AUXILIARY MODEL; IDENTIFICATION; PARAMETER;
D O I：
10.1109/CDC.2009.5400124
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 order to reduce the computational load of the recursive least squares (RLS) algorithm, a decomposition based least squares algorithm is developed for non-uniformly sampled multirate systems. The main ideal is to decompose the identification model of the non-uniformly sampled systems into several submodels with smaller dimensions and fewer parameters based on the hierarchical identification principle and then to use the least squares principle to estimate the parameters of each subsystem. The analysis and simulation results indicate that the proposed algorithm can give highly accurate estimates.
引用
收藏
页码：7256 / 7260
页数：5
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