State estimation for a class of complex networks with event-triggered transmission scheme

In this paper, the state estimation problem is investigated for a class of complex networks with the event-triggered transmission scheme. Different from the periodically triggered communication, the measurement from the sensors is transmitted to the estimator only when the so-called “event-triggered condition” is satisfied in the event-triggered transmission scheme, thereby reducing the unnecessary network traffic between the sensors and the estimator. Attention is focused on the analysis and design of the estimator subject to the predetermined event-triggered transmission scheme such that the estimation error is bounded in mean square. Sufficient conditions are obtained for the existence of admissible estimators. The desired estimator gain matrices is derived via solving a convex problem based on Lyapunov theory combined with the stochastic analysis approach. A numerical example is given to illustrate the effectiveness of the results.