Separable gradient estimation algorithm for Hammerstein systems based on decompositions

被引：0
|
作者：
Ding, Feng [1 ]
机构：
[1] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China
来源：
2012 AMERICAN CONTROL CONFERENCE (ACC) | 2012年
关键词：
PARAMETER-ESTIMATION ALGORITHM; SQUARES IDENTIFICATION METHODS; SYLVESTER MATRIX EQUATIONS; MOVING AVERAGE SYSTEMS; AUXILIARY MODEL; ITERATIVE IDENTIFICATION; PERFORMANCE ANALYSIS; MULTIRATE SYSTEMS; ARMAX SYSTEMS; NONLINEARITIES;
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：
This paper studies parameter estimation problem of Hammerstein systems by using the gradient search principle. The Hammerstein system is a bilinear-parameter system which is linear about two parameter vectors, respectively. A separable gradient algorithm is developed for estimating the two parameter vectors based on the hierarchical identification principle. The algorithm is simple in principle and easy to implement online. The simulation results test the effectiveness of the proposed algorithm.
引用
收藏
页码：3415 / 3420
页数：6
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