Hierarchical recursive least squares algorithm for Hammerstein systems using the filtering method

被引：0
作者：
Ziyun Wang
Yan Wang
Zhicheng Ji
机构：
[1] Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education
来源：
Nonlinear Dynamics | 2014年 / 77卷
关键词：
Parameter estimation; Recursive least squares; Filtering theory; Hierarchical identification principle; Nonlinear system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A hierarchical recursive least squares algorithm is presented in the paper to estimate the parameters of Hammerstein nonlinear systems by combining the filtering method and least squares search principle. The key is to decompose the Hammerstein system into two subsystems by adopting the hierarchical idea. Numerical examples are given to illustrate the performance of the proposed algorithm.
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收藏
页码：1773 / 1781
页数：8
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