Network-based Fault Detection of Markovian Jump Systems with State-dependent Disturbance

This paper considers the problem of fault detection for Markovian jump linear systems with state-dependent disturbance. In the network communication channel, the effects of measurement and mode-signal missing are taken into consideration simultaneously. A Bernoulli stochastic variable approach is applied to describe the phenomenon of the measurements missing. A sufficient condition for the existence of the desired fault detection filter is established in terms of a set of linear matrix inequalities. Finally, a simulation example is given to show the effectiveness of the proposed method.