Scaled consensus for multiagent systems under denial-of-service attacks and exogenous disturbance
Bilal J. Karaki and
Magdi S. Mahmoud
International Journal of Systems Science, 2022, vol. 53, issue 1, 108-121
Abstract:
In this paper, the scaled group consensus problem of high-order multi-agent systems is investigated over directed graphs. In terms of an appropriate Lyapunov function, sufficient conditions are derived to guarantee scaled consensus for high-order continuous-time systems for strongly connected networks. For the case where the agents are subject to exogenous inputs, the scaled consensus is achieved with a guaranteed $ \mathcal {H}_2 $ H2/ $ \mathcal {H}_\infty $ H∞ performance. Moreover, the scaled-consensus problem for multiagents subject Denial-of-Service (DoS) attack is investigated. The considered attack model allows the adversaries to compromise agents independently. Decay rates for each attack mode are obtained based on a set of linear matrix inequalities. Sufficient conditions in terms of decay rates are derived to guarantee secure scaled consensus. Simulation results are also presented to illustrate the effectiveness of the proposed theoretical results.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2021.1938280 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:53:y:2022:i:1:p:108-121
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20
DOI: 10.1080/00207721.2021.1938280
Access Statistics for this article
International Journal of Systems Science is currently edited by Visakan Kadirkamanathan
More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().