The dynamic event-triggered prescribed-time bipartite consensus problem for multiple Euler-Lagrange systems (MELS) with parameter uncertainties is studied. Firstly, a dynamic event-triggering mechanism is designed to reduce communication frequency and improve the utilization of communication resources. Using the system's linear parameterization, the parameter adaptive update law is designed to estimate and compensate for the unknown parameters. On this basis, an adaptive preset-time bipartite consensus controller is designed by combining a time-base generator (TBG), enabling the system to achieve bipartite consensus control at any given time. Then, by using algebraic graph theory and Lyapunov stability theory, the stability of the system is analyzed in detail, and the sufficient conditions for the system to achieve the prescribed time bipartite consensus are given, and it is strictly proved that the system does not exhibit Zeno behavior. Finally, the effectiveness of the proposed method is verified by numerical simulation examples.
@artical{m1592026ijsea15091005,
Title = "Dynamic Event Triggered Prescribed Time Bipartite Consensus for Parameter Uncertain MELS",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "15",
Issue ="9",
Pages ="35 - 41",
Year = "2026",
Authors ="Meng Xiangchen, Wang Yuanmei, Li Tao"}