Event-based fault detection for T-S fuzzy systems with packet dropouts and (x, v)-dependent noises

This paper deals with the event-based fault detection problem for T-S fuzzy systems with packet dropouts as well as state- and disturbance-dependent noises ((x, v)-dependent noises for short). To utilize limited network resources efficiently, the event-triggered mechanism is employed such that only selected valuable data is transmitted to the filter according to whether specific events happen or not. The aim of the addressed problem is to design a fuzzy fault detection filter which guarantees the stochastic stability of the overall fault detection dynamics as well as the robustness against disturbances and sensitivity to faults of the residual signal. Some sufficient criteria are obtained for the existence of the desired fault detection filter which can be designed by solving a set of linear matrix inequalities. Finally, a numerical example is presented to illustrate the validity of the derived results. (C) 2017 Elsevier B.V. All rights reserved.