Dynamic event-triggered fault estimation for complex networks with time-correlated fading channels

In this paper, the problem of dynamic event-based finite-horizon ������& INFIN; fault estimation is studied for a class of discrete-time complex networks with fading channels. In the communication from sensor to estimator, the channel fading phenomenon is considered, which is a dynamic process and reflects the actual situation. Moreover, the dynamic event-triggered mechanism is implemented to schedule the signal transmissions. This paper plans to design a fault estimator to meet the predetermined ������& INFIN; performance requirements. First, sufficient conditions are established to ensure the existence of the desired ������& INFIN; fault estimator. Then, the gain of the ������& INFIN; fault estimator is derived in terms of the solution to a set of recursive matrix inequalities. Finally, an illustrative example is given to demonstrate the effectiveness of our developed fault estimation approach.

Automated summary

This paper studies the problem of dynamic event-based finite-horizon fault estimation in discrete-time complex networks with fading channels. Channel fading phenomenon is considered in the communication from sensor to estimator, as it reflects the actual situation. A dynamic event-triggered mechanism is implemented for signal transmissions. The main contributions include the establishment of sufficient conditions for the fault estimator's existence, derivation of the gain of the fault estimator, and demonstration of the effectiveness through an illustrative example.