Reduced-Order Observer Design and Sensor Attack Detection of Cyber-Physical Systems
In this paper,a design method of a reduced-order observer for the cyber-physical system with unknown input signals and its application in sensor attack detec-tion are investigated.Firstly,the Kronecker product is used to describe the original cyber-physical system as a dynamic model of the whole system.Then,a reduced-order observer with unknown input for cyber-physical system is presented,and the influ-ence of unknown input on the system can be eliminated by increasing the constraint condition of the reduced-order observer gain matrix,and then judging whether there is a sensor attack signal through system output status.Finally,the capability of the proposed reduced-order observer to estimate the state of the system and detect the attack signal of the sensor is verified by numerical simulation.Also,the simulation results show that the performance of the proposed reduced-order observer is better than that of the full-order observer.
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