TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss
 
Options

A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss

Publikationstyp
Journal Article
Date Issued
2024-03-01
Sprache
English
Author(s)
Hespe, Christian  orcid-logo
Saadabadi, Hamideh 
Datar, Adwait  
Werner, Herbert  
Tang, Yang  
Institut
Regelungstechnik E-14  
TORE-URI
http://hdl.handle.net/11420/15308
Journal
IEEE Transactions on Control of Network Systems  
Volume
11
Issue
1
Start Page
210
End Page
220
Citation
IEEE Transactions on Control of Network Systems 11 (1): (2024)
Publisher DOI
10.1109/TCNS.2023.3275917
Scopus ID
2-s2.0-85162896537
Publisher
IEEE
Peer Reviewed
true
In this paper, we extend the decomposable systems framework to multi-agent systems with Bernoulli distributed packet loss with uniform probability. The proposed sufficient analysis conditions for mean-square stability and H2 -performance – which are expressed in the form of linear matrix inequalities – scale linearly with increased network size and thus allow to analyse even very large-scale multi-agent systems. A numerical example demonstrates the potential of the approach by application to a first-order consensus problem.
DDC Class
620: Ingenieurwissenschaften
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback