Distributed constrained consensus for discrete multi-agent systems with additive noises

Huifang Sun, Xiaowen Wang, Jing Zhang and Shuai Liu

International Journal of Systems Science, 2022, vol. 53, issue 3, 468-477

Abstract: In this paper, we investigate the constrained consensus problem for discrete multi-agent systems subject to additive noises. Each agent can only receive relative state measurements corrupted by noises from its neighbours. Two control protocols are designed under some mild assumptions of the noises and the structure of the network. The first protocol is designed with constant control gain, and the constrained consensus error bound is obtained. Asymptotic constrained consensus can be further achieved under the second control protocol in which case time-varying gains are adopted. Finally, two numerical examples are given to illustrate the effectiveness of our results.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2021.1961913 (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:3:p:468-477

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2021.1961913

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 ().