中文版 | English
Title

Distributed Exponential State Estimation for Discrete-time Linear Systems over Jointly Connected Switching Networks

Author
Publication Years
2023
DOI
Source Title
ISSN
2334-3303
VolumePPIssue:99Pages:1-8
Keywords
URL[Source Record]
SUSTech Authorship
First
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10035453
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/427043
DepartmentCollege of Engineering
Affiliation
1.College of Engineering, Southern University of Science and Technology, Shenzhen, China
2.Shenzhen Research Institute and the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
First Author AffilicationCollege of Engineering
First Author's First AffilicationCollege of Engineering
Recommended Citation
GB/T 7714
Tao Liu,Jie Huang. Distributed Exponential State Estimation for Discrete-time Linear Systems over Jointly Connected Switching Networks[J]. IEEE Transactions on Automatic Control,2023,PP(99):1-8.
APA
Tao Liu,&Jie Huang.(2023).Distributed Exponential State Estimation for Discrete-time Linear Systems over Jointly Connected Switching Networks.IEEE Transactions on Automatic Control,PP(99),1-8.
MLA
Tao Liu,et al."Distributed Exponential State Estimation for Discrete-time Linear Systems over Jointly Connected Switching Networks".IEEE Transactions on Automatic Control PP.99(2023):1-8.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Tao Liu]'s Articles
[Jie Huang]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Tao Liu]'s Articles
[Jie Huang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tao Liu]'s Articles
[Jie Huang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.