Robust control of a class of uncertain nonlinear systems
Systems & Control Letters
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Brief paper: Observer design and fault diagnosis for state-retarded dynamical systems
Automatica (Journal of IFAC)
Time-delay systems: an overview of some recent advances and open problems
Automatica (Journal of IFAC)
Sliding mode observers for fault detection and isolation
Automatica (Journal of IFAC)
Brief An LMI approach to design robust fault detection filter for uncertain LTI systems
Automatica (Journal of IFAC)
Brief Sliding mode observers for detection and reconstruction of sensor faults
Automatica (Journal of IFAC)
Brief paper: Robust fault detection and isolation of time-delay systems using a geometric approach
Automatica (Journal of IFAC)
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The robust fault detection filter (RFDF) design problems are studied for linear time-delay systems with both unknown inputs and parameter uncertainties. Firstly, a reference residual model is introduced to formulate the RFDF design problem as an H∞ model-matching problem. The reference residual model presented in this article is assumed to be an optimal residual generator without uncertainties, which takes into account the robustness against disturbances and sensitivity to faults simultaneously. Then applying robust H∞ optimization control technique, the existence conditions of the RFDF for linear uncertain time-delay systems are presented in terms of linear matrix inequality (LMI) formulation, independently of time delay. In order to detect the fault, an adaptive threshold which depends on the inputs and can be calculated on-line is finally determined. An illustrative design example is used to demonstrate the validity and applicability of the proposed approach.