Attacks detection and security control for cyber-physical systems under false data injection attacks

Abstract

This paper is concerned with the attack detection and security control problem for discrete-time nonlinear cyber-physical systems (CPSs) under false data injection (FDI) attacks, which can bypass the traditional error detection mechanism. With the help of the T–S fuzzy models, a novel robust extended state observer with H∞ performance is proposed to estimate this kind of attack. The attacks are included inside the observer as an internal state variable and the estimation of the FDI attack can be obtained from the outputs of the observer. By utilizing the observation of the FDI attack, a compensator is designed to negate the attack. Additionally, a controller is proposed to bring on the attack ineffective. Finally, simulation examples are given to illustrate the effectiveness of the developed schemes.