Event-based fuzzy resilient control of nonlinear DC Microgrids under denial-of-service attacks

This paper focuses on designing an event-triggered fuzzy resilient controller for networked nonlinear DC microgrid (MG) with constant power loads (CPLs) in the presence of denial-of-service (DoS) attacks. First, an attack-resilient event-triggered communication scheme is introduced to reduce the communication overhead of the DC MG while achieving the desired performance despite the presence of the DoS attacks. Second, the nonlinear event-triggered DC MG system with CPLs is modeled as a T-S fuzzy system with artificial delay through the sector nonlinearity approach combined with time-delay system modeling method. Then, by employing the noncontinuous piecewise Lyapunov-Krasovskii functional (NPLKF) approach, the asymptotic stability criterion of the built event-triggered T-S fuzzy DC MG is obtained in the form of linear matrix inequalities (LMIs), and a design method of fuzzy controller is proposed. Finally, case studies are presented to validate the efficiency of our proposed method.