Delayed-state-derivative feedback for improving consensus performance of second-order delayed multi-agent systems
Zhihai Wu and
Huajing Fang
International Journal of Systems Science, 2011, vol. 43, issue 1, 140-152
Abstract:
In this article, delayed-state-derivative feedback is introduced into the existing delayed consensus protocol for improving the robustness against communication delay and the convergence speed of reaching the consensus simultaneously. Frequency-domain analysis and algebra graph theory are employed to derive the sufficient and necessary condition guaranteeing the second-order delayed multi-agent system applying the consensus protocol with the delayed-state-derivative feedback to achieve the stationary consensus asymptotically. It is proved that introducing delayed-state-derivative feedback with the proper intensity can improve the robustness against communication delay and that for two particular kinds of second-order delayed multi-agent systems, introducing the delayed-state-derivative feedback can also accelerate the convergence speed, provided that the intensity of the delayed-state-derivative feedback is chosen properly. Simulations are provided to demonstrate the effectiveness of the theoretical results.
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00207721003802289 (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:43:y:2011:i:1:p:140-152
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20
DOI: 10.1080/00207721003802289
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 ().