Design of false data injection attacks for output tracking control of CARMA systems

Considerable attention has focused on the problem of cyber-attacks on cyber-physical systems in recent years. In this paper, we consider a class of single-input single-output systems which are described by a controlled auto-regressive moving average (CARMA) model. A PID controller is designed to make the system output track the reference signal. Then the state-space model of the controlled plant and the corresponding Kalman filter are employed to generate stealthy false data injection attacks for the sensor measurements, which can destroy the control system performance without being detected by an online parameter identification algorithm. Finally, two numerical simulation results are given to demonstrate the effectiveness of the proposed false data injection attacks.