Multiobjective interval observer via LMI techniques for fault detection

This paper proposes a robust fault detection method based on interval observer design. This method offers the advantage of being robust against disturbances, measurement noises, uncertain parameters and unknown inputs. The H-infinity optimization framework is used to reduce the conservatism of the interval-based approach. The design of the observer parameters is formulated using the Linear Matrix Inequality technique and it is shown how some extra LMI specifications can be judiciously formulated to ensure a minimum sensitivity level to the fault. Finally, the actuator fault detection of an atmospheric re-entry vehicle provides a test to demonstrate the efficiency of the proposed method.