EconPapers    
Economics at your fingertips  
 

Event-triggered sliding mode consensus tracking with prescribed performance for Euler–Lagrange systems

Zeyu Li and Junyong Zhai

International Journal of Systems Science, 2026, vol. 57, issue 7, 1908-1925

Abstract: Nowadays, with the development of network communication technology, remote collaborative control of robot systems for complex tasks is widely applied. This paper proposes a sliding mode control method for achieving the consensus and trajectory tracking of Euler–Lagrange systems with disturbances. To accelerate the tracking process and achieve the prescribed performance tracking control, a segmented practical sliding mode surface is proposed. The leader–follower control strategy is combined with the event-triggered condition to reduce the update frequency of the controller and the information transmission burden. With the help of the hyperbolic tangent function, the event-triggered sliding mode controller is proposed to make the finite-time establishment of practical sliding mode. The trajectory tracking errors of the leader–follower systems will converge to the prescribed tracking accuracy with the ideal tracking speed by virtue of Lyapunov stability theory. The effectiveness of the proposed method is demonstrated by a collaborative tracking example of leader–follower manipulator systems.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2025.2547382 (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:7:p:1908-1925

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

DOI: 10.1080/00207721.2025.2547382

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 ().

 
Page updated 2026-05-06
Handle: RePEc:taf:tsysxx:v:57:y:2026:i:7:p:1908-1925