Hierarchical least squares algorithms for single-input multiple-output systems based on the auxiliary model

被引：28
|
作者：
Xiang, Lili [1 ]
Xie, Linbo [1 ]
Liao, Yuwu [2 ]
Ding, Ruifeng [1 ]
机构：
[1] Jiangnan Univ, Sch Commun & Control Engn, Wuxi 214122, Peoples R China
[2] Xiangfan Univ, Dept Phys & Elect Informat Technol, Xiangfan 441053, Peoples R China
来源：
MATHEMATICAL AND COMPUTER MODELLING | 2010年 / 52卷 / 5-6期
基金：
中国国家自然科学基金;
关键词：
Least squares; Parameter estimation; Auxiliary model identification; Hierarchical identification; DUAL-RATE SYSTEMS; STOCHASTIC GRADIENT ALGORITHMS; NONSTATIONARY ARMA PROCESSES; SELF-TUNING CONTROL; PARAMETER-ESTIMATION; IDENTIFICATION METHODS; PERFORMANCE ANALYSIS; MULTIRATE SYSTEMS; MISO SYSTEMS; CONVERGENCE;
D O I：
10.1016/j.mcm.2010.05.025
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents an auxiliary model based hierarchical least squares algorithm to estimate the parameters of single-input multi-output system modelling by combining the auxiliary model identification idea and the hierarchical identification principle. a numerical example is given to show the performance of the proposed algorithm. (C) 2010 Elsevier Ltd. All rights reserved.
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页码：918 / 924
页数：7
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