Stabilization of Stochastic Complex Network Switched Systems Under Event-Triggered Switching Controls

This paper investigates the exponential stabilization of stochastic complex network switched systems (SCNSSs) with a novel event-triggered switching control, which comprises a primary control and a secondary control. In this control, “switching” has two implications. One is consistent with the switching signal of the system and the other refers to the switching between the primary control and the secondary control. Moreover, unlike traditional systems that utilize a single event-triggering mechanism (ETM), this paper introduces multiple ETMs to improve the control strategy by determining the updating instants of the primary control and the switching instants between the primary and secondary controls. Under the proposed novel event-triggered switching control, the asynchronous problem of time series is solved and the mean-square exponential stabilization for SCNSSs is obtained. Finally, the effectiveness of theoretical results is demonstrated through the simulation conducted on a stochastic oscillator system with multiple nodes.