Trust-based fault detection and robust fault-tolerant control of uncertain cyber-physical systems against time-delay injection attacks

Control systems need to be able operate under uncertainty and especially attacks. To address such challenges, this paper formulates the solution of robust control for uncertain time-varying unknown time-delay attacks in cyber-physical (CPSs). A novel method deal with thwart on closed-loop is proposed. Using a descriptor model an appropriate Lyapunov functional, sufficient conditions stability are derived based linear matrix inequalities (LMIs). design procedure proposed obtain optimal state feedback gain that system can resistant injection attack variable delay. Furthermore, various fault detection frameworks by following dynamics measured data at system's input output using statistical analysis as correlation K-L (Kullback-Leibler) divergence criteria detect attack's existence prevent possible instability. Finally, example provided evaluate method's effectiveness.