Robust Fault Detection for Uncertain System with Communication Delay and Measurement Missing

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 H∞ 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.