Evolutionary identification algorithm for Hammerstein system and its convergence analysis

被引：0
作者：
Zhangqian [1 ,2 ,4 ]
Wang Qunjing [2 ,3 ]
Li Guoli [1 ,2 ,4 ]
机构：
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230039, Peoples R China
[2] Anhui Univ, Natl Engn Lab Energy Saving Motor Control Technol, Hefei, Peoples R China
[3] Anhui Univ, Engn Res Ctr Power Qual, Minist Educ, Hefei, Peoples R China
[4] Anhui Univ, Anhui Pros ince Lab Elect Economize & Safety, Hefei, Peoples R China
来源：
PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2014年
关键词：
Hammerstein model; convergence; parameter identification; Particle Swarm Optimization; ITERATIVE IDENTIFICATION; NONLINEAR-SYSTEMS; LEAST-SQUARES; MODEL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A evolutionary identification algorithm RLS-PSO is introduced to the Hammerstein system, the details of calculation are shown. A numerical example is proposed to show the rationality and effectiveness of this algorithm. The convergence performance is also analyzed in this paper, it is proved that the algorithm can converge with a large N.
引用
收藏
页码：2122 / +
页数：2
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