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.

本文重点研究具有参数不确定性的非线性网络控制系统的安全控制。区间2型T–S模糊模型用于表示原始非线性系统，以捕获参数不确定性。在传感器到控制器的通道以及控制器到执行器的通道中考虑了随机欺骗攻击。通过构造Lyapunov–Krasovskii函数以及欺骗攻击中随时间变化的延迟信息，得出了新的稳定条件。此外，考虑到隶属函数的上限和下限的信息，就线性矩阵不等式而言，发展了较少保守的依赖隶属函数的条件。仿真结果表明，该方法在欺骗攻击和参数不确定性的影响下是有效的。