基于滤波和递推的Hammerstein非线性系统估计与控制

张明光; 李峰; 俞洋; 曹晴峰

doi:10.1631/FITEE.2300620

Your Location：

Home >

Browse articles >

基于滤波和递推的Hammerstein非线性系统估计与控制

专题 | Updated：2024-02-26

- 基于滤波和递推的Hammerstein非线性系统估计与控制
- Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control
- 信息与电子工程前沿(英文版) 2024年25卷第2期页码：260-271
- Affiliations：
  
  1.School of Electrical & Information Engineering, Jiangsu University of Technology, Changzhou 213001, China
  2.College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
- Author bio：
  
  ‡ Corresponding author
- Funds：
  
  the National Natural Science Foundation of China(62003151);the Changzhou Science and Technology Bureau, China(CJ20220065);the Qinglan Project of Jiangsu Province, China(2022[29]);the Zhongwu Youth Innovative Talents Support Program of Jiangsu University of Technology, China(202102003)
- DOI：10.1631/FITEE.2300620
  中图分类号： TP273
- 收稿：2023-09-13，
  
  修回：2023-12-03，
  
  录用：2023-12-03，
  
  网络出版：2023-12-29，
  
  纸质出版：2024-02-0
- Accepted：
Scan QR Code
张明光, 李峰, 俞洋, 等. 基于滤波和递推的Hammerstein非线性系统估计与控制[J]. 信息与电子工程前沿(英文版), 2024,25(2):260-271.

Mingguang ZHANG, Feng LI, Yang YU, et al. Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 260-271.
张明光, 李峰, 俞洋, 等. 基于滤波和递推的Hammerstein非线性系统估计与控制[J]. 信息与电子工程前沿(英文版), 2024,25(2):260-271. DOI： 10.1631/FITEE.2300620.

Mingguang ZHANG, Feng LI, Yang YU, et al. Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 260-271. DOI： 10.1631/FITEE.2300620.

浏览量

142

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Separation identification of a neural fuzzy Wiener–Hammerstein system using hybrid signals

基于滤波和递推的Hammerstein非线性系统估计与控制

Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control

DOI：10.1631/FITEE.2300620