Stochastic cyber-attacks estimation for nonlinear control systems based on robust H∞ filtering technique

Based on robust H
_∞
filtering technique, this paper presents the cyber-attacks estimation problem for nonlinear control systems under stochastic cyber-attacks and disturbances. A nonlinear H
_∞
filter that maximize the sensitivity of the cyber-attacks and minimize the effect of the disturbances is designed. The nonlinear filter is required to be robust to the disturbances and the residual need to remain the sensitivity of the attacks as much as possible. Applying linear matrix inequality (LMI), the sufficient conditions guaranteeing the H
_∞
filtering performance are obtained. Simulation results demonstrate that the designed nonlinear filter efficiently solve the robust estimation problem of the stochastic cyber-attacks.