中国科学:信息科学(英文版)2024,Vol.67Issue(4) :193-213.DOI:10.1007/s11432-022-3766-3

A model reduction approach for discrete-time linear time-variant systems with delayed inputs

Ai-Guo WU Guang-Ren DUAN Yu WANG Jie ZHANG
中国科学:信息科学(英文版)2024,Vol.67Issue(4) :193-213.DOI:10.1007/s11432-022-3766-3

A model reduction approach for discrete-time linear time-variant systems with delayed inputs

Ai-Guo WU 1Guang-Ren DUAN 2Yu WANG 3Jie ZHANG3
扫码查看

作者信息

  • 1. School of Mechanical Engineering and Automation,Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China;HIT Wuhu Robot Technology Research Institute,Wuhu 241008,China
  • 2. Center for Control Science and Technology,Southern University of Science and Technology,Shenzhen 518055,China
  • 3. School of Mechanical Engineering and Automation,Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China
  • 折叠

Abstract

A model reduction approach is presented for discrete-time linear time-variant input-delayed systems.According to this proposed approach,a dynamical variable is constructed by taking advantage of the current state and historical information of input.It is revealed that the behavior of this dynamical variable is governed by a discrete-time linear delay-free system.It is worth noting that the presented variable transformation does not require the system matrix to be invertible.Based on the reduced delay-free models,stabilizing control laws can be easily obtained for the original delayed system.For the case with a single input delay,the constructed variable is an exact prediction for the future state,and thus the stabilizing control law could be designed by replacing the future state with its prediction.Finally,three discrete-time periodic systems with delayed input are employed to illustrate how to utilize the presented model reduction approaches.

Key words

reduction approach/predictor-based feedback/time-varying systems/delayed input/periodic system

引用本文复制引用

基金项目

深圳市科技计划(RCJC20210609104400-005)

深圳市科技计划(KQTD20210811090146075)

HIT Wuhu Robot Technology Research Institute(HIT-CXY-CMP2-IARU-21-01)

science Center Program of National Natural Science Foundation of China(62188101)

国家自然科学基金(62173112)

国家自然科学基金(U2013203)

出版年

2024
中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子:0.715
ISSN:1674-733X
参考文献量31
段落导航相关论文