Event-triggered Bipartite Consensus for Multi-agent Systems via Model-free Sliding-mode Scheme

Zhao, Huarong; Peng, Li; Xie, Linbo; Yu, Hongnian

Abstract

This paper addresses the challenge of achieving fully distributed event-triggered bipartite consensus in discrete-time nonlinear multi-agent systems (MASs) characterized by unknown dynamic models and antagonistic interactions. It begins by transforming the bipartite consensus issue into a standard consensus problem through a combined measurement error function. A dynamic linearization model is subsequently established for the input and the combined measurement error function, easing the strongly connected requirement of MASs' communication topology. To enhance performance, an event-triggered model-free sliding-mode bipartite consensus algorithm is proposed, designed to boost convergence speed, reduce steady-state error, and relieve communication burden. The convergence of the proposed method is rigorously proven, allowing for control of fine-tuned specific practical needs. Simulation studies are conducted to verify the effectiveness of the proposed scheme.

Citation

Zhao, H., Peng, L., Xie, L., & Yu, H. (2025). Event-triggered Bipartite Consensus for Multi-agent Systems via Model-free Sliding-mode Scheme. IEEE Transactions on Network Science and Engineering, 12(2), 1137-1145. https://doi.org/10.1109/tnse.2024.3524383

• Journal Article Type: Article
• Online Publication Date: Dec 30, 2024
• Publication Date: 2025-04
• Deposit Date: Mar 20, 2025
• Journal: IEEE Transactions on Network Science and Engineering
• Electronic ISSN: 2327-4697
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 2
• Pages: 1137-1145
• DOI: https://doi.org/10.1109/tnse.2024.3524383
• Keywords: Multi-agent systems, bipartite consensus, model-free adaptive control, event-triggered control, sliding-mode control
• Public URL: http://researchrepository.napier.ac.uk/Output/4043019