An LMI-based robust fault detection and isolation scheme

Abstract

This paper presents a linear matrix inequality (LMI)-based robust fault detection and isolation scheme that can precisely detect/isolate simultaneously occurring actuator and sensor faults within uncertain linear stochastic systems. This robust fault detection scheme would be able to distinguish between model uncertainties and actuator failures, therefore eliminating the problem of false alarms even in the presence of matched uncertainties. The proposed approach can also be used for sensor fault identification and the reconstruction of true outputs from faulty sensor outputs. Simulation results presented here validate the effectiveness of the proposed robust fault detection and isolation system.