Sampled-data output-feedback containment control for feedforward nonlinear multi-agent systems with packet losses
Yiyu Feng,
Debao Fan,
Xianfu Zhang and
Qingrong Liu
International Journal of Systems Science, 2026, vol. 57, issue 2, 462-477
Abstract:
This paper investigates sampled-data output-feedback containment control for feedforward nonlinear multi-agent systems. In particular, the considered systems suffer from packet losses. For systems featuring multiple leaders, we cleverly employ time-varying gain and coordinate transformation technique to design a distributed containment control protocol. Meanwhile, to delineate the phenomenon of packet losses, a switching system comprising both stable and unstable subsystems is utilised to characterise deterministic packet losses. From this foundation, we derive the constraints on packet loss frequency and maximum packet loss duration necessary for achieving containment control, thereby ensuring that all followers converge to the convex hull formed by the leaders. Additionally, we further extend the obtained results to strict-feedback nonlinear multi-agent systems. Ultimately, the validity of proposed control strategy is confirmed through a simulation example.
Date: 2026
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2025.2504063 (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:57:y:2026:i:2:p:462-477
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20
DOI: 10.1080/00207721.2025.2504063
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 ().