Research on event-triggered control for a class of stochastic multi-agent systems

Abstract This paper delves into the problem of achieving finite-time output feedback control for multi-agent systems subject to stochastic nonlinear dynamics. To tackle system uncertainties, we have devised a state observer that serves to approximate the nonlinear dynamics and estimate the unmeasurable states. To minimize the utilization of communication resources, we have incorporated an event-triggered mechanism into our approach. Furthermore, the devised event-triggered controller effectively prevents the emergence of Zeno behavior. Upon conducting a thorough stability analysis, it has been rigorously demonstrated that the tracking error converges to a small vicinity around the origin within a finite time frame. The effectiveness of the theoretical results is validated through simulations, demonstrating strong robustness and adaptability, making it suitable for applications in practical complex environments.