False data injection attacks for output tracking control systems

Cyber-physical systems (CPSs) have been gaining popularity with their high potential in widespread applications, and the security of CPSs becomes a rigorous problem. In this paper, an output track control (OTC) method is designed for discrete-time linear time-invariant Gaussian systems. The output tracking error is regarded as an additional state, Kalman filter-based incremental state observer and LQG-based augmented state feedback control strategy are designed, and Euclidean-based detector is used for detecting the false data injection attacks. Stealthy false data attacks which can completely disrupt the normal operation of the OTC systems without being detected are injected into the sensor measurements and control commands, respectively. Three kinds of numerical examples are employed to illustrate the effectiveness of the designed false data injection attacks.