Work

Fixed‐/Finite‐Time Bipartite Consensus of Multi‐Agent Systems With Disturbances via Event‐Triggered Control and Neural Networks

Year: 2026

Type: article

Abstract: ABSTRACT This paper addresses the fixed‐time and finite‐time bipartite consensus problem for multi‐agent systems with nonlinearities and external disturbances under event‐triggered control. The problem is investigated for both leader‐following and leaderless configurations, and a scheme that reconciles communication efficiency with control performance is developed for systems featuring cooperative and antagonistic interactions. Designed to update control signals only when needed, a distributed event‐triggered mechanism reduces communication overhead and control costs while accommodating field constraints. Neural networks are employed to approximate the nonlinear dynamics, relaxing the Lipschitz conditions conventionally assumed and consequently lowering conservatism. Suitable Lyapunov functions are then constructed, and sufficient conditions for bipartite consensus are derived via fixed‐time and finite‐time stability theory. Zeno behavior is also theoretically precluded, so that practical implementability is ensured. Finally, numerical simulations corroborate the derived theoretical results.

Source: Asian Journal of Control

DOI: 10.1002/asjc.70294

Authors: Yiping Luo, Shixiao Wang, Jinde Cao, Dong Yue, Wenhua Xia, Yuejie Yao

Institutions: Hunan Institute of Engineering, Purple Mountain Laboratories, Southeast University, Nanjing University of Posts and Telecommunications

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hunan Province

Award: G8510949953