Fault detection for networked control systems with time-varying sampling periods

This paper investigates the problem of fault detection for networked control systems under simultaneous consideration of time-varying sampling periods and packet dropouts. By taking time-varying sampling periods into consideration, a new closed-loop model for the considered NCSs is established. The sampling period switching-based approach and the parameter uncertainty-based approach are adopted to deal with time-varying sampling periods. Based on the established model, the observer-based fault detection filter design criteria are proposed to asymptotically stabilize the residual system in the sense of mean-square. The designed observer-based fault detection filter can guarantee the sensitivity of the residual signal to faults. The simulation results illustrate the effectiveness of the obtain results.