Robust Fault Detection for Uncertain System with Communication Delay and Measurement Missing
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The robust fault detection problem is investigated for a class of norm-bounded uncertain systems with communication delays and multiple measurement packet dropouts. The networked time-delay and missing measurements are modeled as a linear function of the stochastic variable satisfying Bernoulli random binary distribution. A robust fault detection filter based on filtering is designed to make residual error system be exponentially mean-square stable and satisfy a prescribed disturbance attenuation level. A sufficient condition is derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed method.
Robust fault detection filter, communication delays, missing measurements, filtering, linear matrix inequality.