Resilient Fuzzy Control Synthesis of Nonlinear DC Microgrid via a Time-Constrained DoS Attack Model

In this article, the exponential stability (ES) and fuzzy control problem is addressed for DC microgrid (DC-MG) system based on T-S fuzzy model under denial-of-service (DoS) attacks. Considering that the time scale of networked T-S fuzzy model and parallel distributed compensation (PDC) fuzzy control rules is asynchronous, the T-S fuzzy model of the DC-MG system is established. More importantly, in order to reflect the effect of DoS attacks, a time-constrained DoS attack (TCDA) model, which only characterizes the duration of DoS attacks, is established compared with the classic DoS attack model. Then, a switched DC-MG fuzzy system model based on state-feedback control law and TCDA model is established. Furthermore, the time-varying Lyapunov function related to attack parameters is used to ensure the ES of the system. Besides, a fuzzy-dependent switching control strategy is designed in terms of linear matrix inequalities (LMIs). Finally, through a simulation example, the effectiveness of the proposed control strategy is verified.

Automated summary

This article addresses the exponential stability and fuzzy control problem for DC microgrid system based on T-S fuzzy model under denial-of-service attacks. A T-S fuzzy model of the DC-MG system is established considering the asynchronous time scale of the networked T-S fuzzy model and PDC fuzzy control rules. A time-constrained denial-of-service attack (TCDA) model is also established to reflect the effect of DoS attacks. Furthermore, a switching control strategy and time-varying Lyapunov function are used to ensure the stability of the system.