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In this paper, the robust fault detection filter design problem for linear time-delay systems with both unknown inputs and parameter uncertainties is studied. Using a multiobjective optimization technique, a new performance index is introduced, which takes into account the robustness of the fault detection filter against disturbances and sensitivity to(More)
In this paper, a novel fault detection and identification (FDI) scheme for a class of nonlinear systems is presented. First of all, an augment system is constructed by making the unknown system faults as an extended system state. Then based on the ESO theory, a novel fault diagnosis filter is constructed to diagnose the nonlinear system faults. An extension(More)
This paper presents a novel approach for the actuators fault diagnosis of time-delay systems by using an adaptive observer technique. The systems considered are subjected to an unknown input that represents either model uncertainty or external disturbances. At first, fault detection observer and fault diagnosis observer for linear actuators are designed. An(More)