Iterative Learning Observer-based Fault Diagnosis with actuator and sensor fault in linear system

For a class of continuous linear systems containing external perturbations and internal faults (actuator and sensor faults), this paper recommends a fault diagnosis method using an iterative learning observer. An iterative learning observer that simultaneously estimates and reconstructs the state and faults of the system is developed in this paper. It is only at the same time that the conditions for the stability of the observer are assigned through linear matrix inequalities (LMIs).Also to inhibit the instability of the system caused by external perturbations, H
∞
performance metrics are employed in this paper. A simulation is carried out at last to verify the reliability and validity of the proposed scheme.