Event-triggered resilient asynchronous estimation of stochastic Markovian jumping CVNs with missing measurements: A co-design control strategy

This study is focused on investigating the asynchronous estimation issue of stochastic Markovian jumping complex-valued networks (CVNs) with missing measurements. As the first attempt, a co-design control strategy is introduced to enhance the disturbance rejection capability of the involved system and achieve efficient utilization of communication resources. Specifically, by integrating event-triggered scheme and robust term, the proposed control strategy effectively facilitates the asynchronous estimation of the considered CVNs. Besides, the designed dynamic event-triggered mechanism is more aligned with practical applications, which thoroughly accounts for the maximum and minimum triggered intervals. In addition, with the aid of the devised co-design control strategy, the desired criteria have been successfully derived. More precisely, through the combination of Lyapunov stability theory, matrix inequality techniques, and stochastic analysis method, several sufficient conditions are established to ensure that the augmented error system can reach mean-square stability. At the end of this article, one simulation example is proposed to validate the effectiveness and feasibility of the presented event-triggered resilient asynchronous estimator.