夏浩

个人信息Personal Information

教授

硕士生导师

性别:男

毕业院校:伯明翰大学

学位:博士

所在单位:控制科学与工程学院

学科:控制理论与控制工程

办公地点:创新园大厦A715

电子邮箱:hao.x.xia@dlut.edu.cn

扫描关注

论文成果

当前位置: 夏浩教授 >> 科学研究 >> 论文成果

基于子空间方法的非均匀周期刷新和采样系统辨识

点击次数:

发表时间:2022-10-10

发表刊物:控制与决策

所属单位:电子信息与电气工程学部

卷号:29

期号:5

页面范围:901-906

ISSN号:1001-0920

摘要:For the modeling issue of non-uniform period refresh and sampling system, the subspace identification method is used to deal with the state space model. First of all, Hankel matrix created by the sampled input and output data is employed to consist with the extended state space equation. Then, the subspace identification with the oblique projection principle and sigular value decomposition is used to determine the augmented observation matrix and state vector. The least squares method is proposed to confirm the parameters of the model. Finally, the simulation example demonstrates the effectiveness of the proposed algorithm.

备注:新增回溯数据