Exponential Stabilization of Stochastic Systems via Novel Event-Triggered Switching Controls

In this paper, a novel event-triggered switching control is introduced to investigate the mean-square exponential stabilization for a class of stochastic systems. Different from the traditional event-triggered controls in deterministic/stochastic control systems, the proposed control strategy includes a primary control and a secondary control, which allows for the switching between two different controls. Moreover, a novel static/dynamic event-triggering mechanism based on event detection, condition evaluation and action execution (ETM-ECA) is established, making all control updating and switching times determined by ETM-ECA. Meanwhile, this ETM-ECA allows non-uniformly sampled measurements and guarantees a positive lower bound on the inter-event times. Finally, an illustrative example with simulation figures is given to demonstrate the obtained results.