Network-based synchronization of T–S fuzzy chaotic systems with asynchronous samplings

  • Tae H. Lee
  • , Chee Peng Lim
  • , Saeid Nahavandi
  • , Ju H. Park*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

In this paper, we study the problem of network-based synchronization of chaotic systems in Takagi–Sugeno (T–S) fuzzy form, in which the master and slave fuzzy chaotic systems are connected with a continuous-time controller through a network. In all communication channels, asynchronous samplings and external disturbances are considered. The asynchronously sampled state information of the master and slave systems received in the controller is treated by designing an observer for estimating the states of the master system. Then, based on the observation result, the problem of asynchronous samplings between the slave-controller and controller-slave channels is solved in two different cases. Sufficient conditions for the existence of the desired observer and controllers for each asynchronous cases are presented in the form of linear matrix inequalities. An numerical example is given to illustrate the validity and potential of the proposed new design techniques.

Original languageEnglish
Pages (from-to)5736-5758
Number of pages23
JournalJournal of the Franklin Institute
Volume355
Issue number13
DOIs
StatePublished - 2018.09

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Mathematics
  • Data Science

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