Fuzzy Linguistic Knowledge Reasoning-Based Secure Control for Connected Nonlinear Servosystem

In this paper, the issue of tracking control for connected servosystems with coupling input and false data injection (FDI) attacks is studied. A fuzzy linguistic knowledge reasoning-based secure control scheme is proposed. Firstly, the dynamic model of connected nonlinear servosystems suffer from coupling input and FDI attacks is modeled. Then, a fuzzy linguistic estimator based on experimental observation and human knowledge is proposed to approximate the nonlinear function. Furthermore, an observer depended on the fuzzy linguistic estimator is designed to observe the system state. Thirdly, to achieve the tracking control of connected nonlinear servosystems, a fuzzy linguistic knowledge reasoning-based secure control algorithm is presented. Finally, simulation and experiment results demonstrate the effectiveness of the algorithm.