Stability and Security Analysis with Identification of Attack on Industrial Networked Control System: An Overview

Abstract

A networked control system (NCS) is sensitive to the different types of attacks and it is essential to secure and stabilize it. In this manuscript, to represent the impact on the stability of the control system, an industrial NCS is considered. The process noise and measurement noise alongside certain attacks are assumed to be affecting the performance of this system. It is also assumed that the agent may inject false data to disrupt the performance of the control system. An overview of recent work done for stabilization of NCS in such scenario is presented here. Kalman filter along with some control system stability conditions are used to mitigate the effect of noise and attacks on NCS. A numerical example is presented here to exemplify the performance of the Kalman filter and Linear Quadratic Gaussian (LQG) controller along with PID controller on system state estimation. It is shown that Kalman filter estimates the states optimally which indicted by the eigenvalues of -4.87, -1.77, -12. The simulation and sampling times were 20s and 10ms, respectively.