Sensor Fault Estimation Based on Dynamic Event-triggered Mechanism and Interval Observer

In this paper, the problem of fault estimation(FE) for a class of systems with dynamic event-triggered mecha-nism(ETM) in network environment is studied. In order to increase the interval between events and reduce the amount of data transmission, this paper introduces internal dynamic vari-ables into the event-triggered mechanism and modifies the event- triggered threshold. Then, for the augmented system composed of state vector and sensor fault vector, an interval observer is designed to ensure the interval property between the system state and its estimations, and to realize the simultaneous estimation of the system state and sensor fault. Moreover, the Metzler matrix is constructed by a same eigenvalue transformation(SET), and the FE problem of the reconstructed augmented model is redesigned. Finally, the main results are verified by numerical simulation, and the validity of the conclusions is verified.