Robust H ∞ cyber-attacks estimation for control systems

This paper deals with the robust H ∞ cyber-attacks estimation problem for control systems under stochastic cyber-attacks and disturbances. The focus is on designing a H ∞ lter which maximize the attack sensitivity and minimize the effect of disturbances. The design requires not only the disturbance attenuation, but also the residual to remain the attack sensitivity as
much as possible while the effect of disturbance is minimized. A stochastic model of control system with stochastic cyber-attacks which satisfy the Markovian stochastic process is constructed. And we also present the stochastic attack models that a control system is possibly exposed to. Furthermore, applying H ∞ ltering technique-based on linear matrix inequalities (LMIs), the paper obtains suf cient conditions that ensure the ltering error dynamic is asymptotically stable and satis es a prescribed ratio between cyber-attack sensitivity and disturbance sensitivity. Finally, the results are applied to the control of a Quadruple-tank
process (QTP) under a stochastic cyber-attack and a stochastic disturbance. The simulation results underline that the designed lters is effective and feasible in practical application.