Abstract
This paper addresses the robust fault estimation problem for a class of linear parameter-varying (LPV) systems with time delays. It is assumed that the state-space data depend affinely on the time-varying parameters that can be measured in real-time and the time-delay is unknown but with bounded variation rates. As an alternative to robust residual generation in FDI, this paper is concerned with the development of a robust fault estimator which has the same parameter dependence as the plant, can be characterized via a set of linear matrix inequalities (LMIs) and has robustness to exogenous disturbance and plant time-delay. To demonstrate the proposed method, an illustrative example is provided.
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