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
收藏
页码：1176 / 1181
页数：6
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