Fault detection filter design for discrete-time networked control systems

Abstract

This paper is concerned with fault detection filter design for discrete-time networked control systems (NCSs) under consideration of packet dropouts, network-induced delays and data drift. By considering packet dropouts and network-induced delays separately, new models for discrete-time NCSs with faults are established. Based on the established models, fault detection filter design criteria are proposed to asymptotically stabilize the residual systems in the sense of mean-square and preserve a guaranteed performance. When transferring nonlinear matrix inequalities into a solvable optimization problem, new bounding inequalities are proposed to introduce less conservatism. The designed fault detection filters can ensure the sensitivity of the residual signal with respect to faults, and robustness of the considered systems with respect to data drift. A numerical example is given to illustrate the effectiveness of the obtained results.