Hybrid-triggered predictive control of cyber-physical-systems under cyber-attacks

In this article, the hybrid-triggered predictive control of cyber-physical systems (CPSs) under cyber-attacks is researched. Firstly, considering the unpredictable state of the CPSs, an observer-based model is constructed, and the predictor is put forward to predict state. Secondly, a hybrid-triggered scheme is adopted to avoid unnecessary-data transmission by introducing a hybrid switch mode. Thirdly, the deception attacks and DoS attacks are existed in sensor-to-observer (S-O) and observer-to-controller (O-C), separately. Two types of attack modeling are established based on their characteristics. With the proposed control method, some sufficient conditions are obtained to ensure the input-to-state stability (ISS) of CPSs. Finally, the results of simulation examples are received to testify the advantage of developed control strategy.