Novel Input-output Representation of Non-uniformly Sampled-data Systems

被引：0
|
作者：
Xie L. [1 ,2 ]
Yang H.-Z. [1 ,2 ]
Ding F. [1 ,2 ]
机构：
[1] Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi
[2] School of Internet of Things Engineering, Jiangnan University, Wuxi
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2017年 / 43卷 / 05期
关键词：
Multirate system; Non-uniform sampling; System model; Transfer function model;
D O I：
10.16383/j.aas.2017.c150787
中图分类号：
学科分类号：
摘要：
The lifting technique is a benchmark tool to deal with non-uniformly sampled-data (NUSD) systems. However, the lifted state space model suffers from the causality constraint problem, and the corresponding lifted transfer function model is complex and involves a large number of parameters. Therefore, they are inconvenient for the identification and control purposes. By introducing a time-varying backward shift operator, this paper proposes a novel input-output representation of NUSD systems. The proposed model can overcome the limitation of the lifted models, and make traditional identification methods and control strategies of single-rate systems applicable to NUSD systems. The simulation results illustrate the advantages and effectiveness of the novel model. Copyright © 2017 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：806 / 813
页数：7
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