Event-triggering Control of Networked Control Systems Under Random Deception Attacks: An Adaptive Triggering Strategy With Saturation Constraint

This paper deals with the stochastic stability problem of the closed-loop system under deception attacks based on an adaptive event-triggering scheme (AETS) with saturation constraint. Some novel stability criteria related to networked control systems under deception attacks are devised by taking the fixed threshold which is difficult to adapt to changeable systems into account. An adaptive event-triggering scheme with saturation constraint involving a threshold variable with system states is proposed to reduce network load, and the desired controller gain matrix is obtained by employing the linear matrix inequalities (LMIs) technique. Moreover, the Lyapunov-Krasovskii method is used to obtain sufficient conditions for ensuring the stability of the system. In the end, the simulation results are shown to indicate the validity of the proposed method.