Journal of Qufu Normal University, Volume. 51, Issue 3, 1(2025)
Leader-following consensus for nonlinear multi-agent systems based on aperiodically intermittent event-triggered mechanisms
This paper proposes a novel hybrid Aperiodic Intermittent Event-Triggered (AIET)control strategy for achieving leader-follower exponential consensus in Lipschitz-type nonlinear multi-agent systems. Conditions(ETCs),each containing a decaying exponential function term,which regulates the controller's active and rest intervals. Additionally,a distributed event-triggering condition is effective only within control intervals to manage the timing of controller updates. It is proven that all three event-triggering intervals have a positive lower bound,fully preventing the occurrence of Zeno behavior in the system. Unlike existing methods that rely solely on event-triggered mechanisms to manage controller states or update timing,this approach combines event-triggered mechanisms (ETM)with intermittent control (IC):by employing three distinct event-triggering mechanisms,it simultaneously reduces the need for continuous adjustments and sustained actions in the controller,thereby effectively lowering control and communication resource consumption. A simulation of the nonlinear multi-agent system is presented at the end of the paper,with results demonstrating the effectiveness of the proposed control strategy in achieving the control objective.
Get Citation
Copy Citation Text
ZHENG Liwen, XU Shengyuan. Leader-following consensus for nonlinear multi-agent systems based on aperiodically intermittent event-triggered mechanisms[J]. Journal of Qufu Normal University, 2025, 51(3): 1
Received: Oct. 17, 2024
Accepted: Aug. 25, 2025
Published Online: Aug. 25, 2025
The Author Email: XU Shengyuan (syxu@njust.edu.cn)