A method for analyzing the state controllability of linear discrete time-varying time-delay systems

被引：0

作者：

Wang, Zhuo ^{[1
,2
,3
,4
]}

Yuan, Qi ^{[5
]}

机构：

[1] Beihang Univ, Sch Res Inst Frontier Sci, Beijing 100191, Peoples R China

[2] Beihang Univ, Key Lab, Minist Ind & Informat Technol Quantum Sensing Tec, Beijing 100191, Peoples R China

[3] Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China

[4] Beijing Acad Quantum Informat Sci, Beijing 100193, Peoples R China

[5] Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing 100191, Peoples R China

来源：

PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20) | 2020年

基金：

中国国家自然科学基金;

关键词：

State Controllability Analysis; Linear Discrete Systems; Time-varying Time-delay Systems; Augmented State-space Model; NONLINEAR-SYSTEMS; NEURAL-NETWORKS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The state controllability of time-delay systems is important for a wide range of scientific and industrial processes. However, few researches up to now have been carried out for extensive studies on this problem. This paper develops a method for analyzing the state controllability of linear discrete time-varying time-delay systems. By establishing an augmented state-space model of the original system, only a few parameters are needed to complete the determination of the state controllability, which greatly reduces the amount of calculation. Then, a specific example is presented to show the effectiveness of the proposed analysis method.

引用

页码：1176 / 1181

页数：6

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