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

作　　者：Ai-Guo WU Guang-Ren DUAN Yu WANG Jie ZHANG 

机构地区：[1]School of Mechanical Engineering and Automation,Harbin Institute of Technology Shenzhen,Shenzhen 518055,China [2]HIT Wuhu Robot Technology Research Institute,Wuhu 241008,China [3]Center for Control Science and Technology,Southern University of Science and Technology,Shenzhen 518055,China

出　　处：《Science China(Information Sciences)》2024年第4期193-213,共21页中国科学（信息科学）（英文版）

基　　金：supported by Shenzhen Science and Technology Program(Grant Nos.RCJC20210609104400005,KQTD20210811090146075);HIT Wuhu Robot Technology Research Institute(Grant No.HIT-CXY-CMP2-IARU-21-01);Science Center Program of National Natural Science Foundation of China(Grant No.62188101);National Natural Science Foundation of China(Grant No.62173112);Joint Funds of the National Natural Science Foundation of China(Grant No.U2013203)。

摘　　要：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.

关 键 词：reduction approach predictor-based feedback time-varying systems delayed input periodic system 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]