Abstract
The detection and isolation of parametric faults in continuous-time systems are investigated. The parameters of the continuous-time model are identified directly from sampled data using linear integral filters. Detection and isolation thresholds are set by the asymptotic analysis of the estimated parameters in a statistical framework. A simulation example is included to confirm the theoretical results.
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