Dynamic Predictor‐Based Event‐Triggered Control for Stochastic Systems With Time‐Varying Output Delay

ABSTRACT This paper presents a novel dynamic predictor‐based event‐triggered control strategy to investigate the mean‐square exponential stabilization for a class of stochastic systems with time‐varying output delay. First, a dynamic prediction scheme is introduced to deal with the problem of time delay, where the segmentation precision is no longer a constant, but a dynamically changing value. Second, an event‐triggering mechanism with time regularization is proposed to avoid the Zeno phenomenon and guarantee the exponential convergence of the segmentation precision in the prediction scheme. Then, a predictor‐based event‐triggered control is designed to achieve the mean‐square exponential stabilization of stochastic systems. Finally, a single‐link robot model is given to show the effectiveness of the obtained results.