Identification of switched nonlinear systems based on EM algorithm

被引：0
|
作者：
Chai Xiujun [1 ]
Wang Hongwei [1 ,2 ]
Wang Lin [1 ]
Xiao Zhengqing [3 ]
机构：
[1] Xinjiang Univ, Sch Elect Engn, Urumqi 830047, Peoples R China
[2] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 110024, Peoples R China
[3] Xinjiang Univ, Sch Math & Syst Sci, Urumqi 830047, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词：
switched nonlinear systems; EM algorithm; weighed multi-innovation least squares; key-term separation principle; Hammerstein models; SUBSPACE IDENTIFICATION; STABILIZATION;
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 study aims to determine how to deal with the identification of switched nonlinear systems (SNSs) with multiple Hammerstein models. The identification tasks of SNSs are model detection (MD) and parameters identification (PI). At the stage of MD, Expectation-Maximization (EM) algorithm is used to confirm the switched time and the dwell time of SNSs. At the stage of PI, the weighted multi-innovation least square (WMILS) algorithm is proposed to obtain the final parameter estimates for each subsystem. Finally, the effectiveness of the proposed methods is verified through simulation example.
引用
收藏
页码：1337 / 1342
页数：6
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