Security control of interval type-2 fuzzy system with two-terminal deception attacks under premise mismatch

Abstract

This paper focuses on security control of nonlinear networked control systems with parameter uncertainties. Interval type-2 T–S fuzzy model is used to represent the original nonlinear system, so as to capture the parameter uncertainties. Stochastic deception attacks are considered in the sensor to controller channel and the controller to actuator channel. By constructing Lyapunov–Krasovskii functional with the information of time-varying delays in the deception attacks, new stabilization conditions are derived. Furthermore, considering the information of upper and lower bounds of membership functions, less conservative membership-function-dependent conditions are developed in terms of linear matrix inequality. Finally, simulation results show that the proposed method is effective under the influence of deception attacks and parameter uncertainties.