Exponential Stabilization of Stochastic Complex Networks Under the Novel Event-Triggered Switching Control
Anjie Li, Xuetao Yang · 2025
This paper investigates the exponential stabilization of stochastic complex networks with the novel event-triggered switching control. To conserve control resources, a switching control strategy comprising primary control and secondary control is designed. Unlike traditional systems that utilize a single event-triggering mechanism (ETM), this paper introduces the multiple ETMs to optimize the control strategy by determining the updating times of the primary control and the switching times between the primary and secondary control. Moreover, our novel multiple ETMs can avoid the Zeno behavior. Under the proposed novel event-triggered switching control, the meansquare exponential stabilization for stochastic complex networks is obtained. Finally, the effectiveness of theoretical results is demonstrated through the simulation conducted on a single-link manipulator system with multiple nodes.