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

Zhixiong Zhong, Yanzheng Zhu

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

1 Citation (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 2018 American Control Conference (ACC 2018), 27-29 June 2018, Milwaukee, Wisconsin, USA
PublisherIEEE
Pages4379-4384
Number of pages6
ISBN (Print)9781538654286
DOIs
Publication statusPublished - 2018
EventAmerican Control Conference -
Duration: 27 Jun 2018 → …

Publication series

Name
ISSN (Print)2378-5861

Conference

ConferenceAmerican Control Conference
Period27/06/18 → …

Keywords

  • automatic control
  • direct current
  • electric power distribution
  • fuzzy systems
  • microgrids (smart power grids)

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