Fuzzy-model-based distributed sampled-data control and its application to a DC microgrid

The problem of distributed sampled-data control for large-scale fuzzy interconnected systems is studied. In each fuzzy subsystem, the sampling instants of sensors and the updating instants of actuators are asynchronous. We introduce a Lyapunov-Krasovskii functional (LKF) by the virtue of Wirtinger-type inequality, and combine with some linearization techniques of matrix inequality. The design result on distributed sampled-data fuzzy control for the large-scale fuzzy systems is derived in the form of LMIs. A direct current (DC) microgrid model and its simulation results are provided to verify the efficacy of the proposed method.

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