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

In this paper, the problem of dynamic event-based finite-horizon H∞ 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 H∞ performance requirements. First, sufficient conditions are established to ensure the existence of the desired H∞ fault estimator. Then, the gain of the H∞ 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.