Dynamic feedback triggering fuzzy control for Takagi–Sugeno discrete systems

Magdi S. Mahmoud*, Nezar M. Alyazidi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


We study the design problem of dynamic event-triggered (ET) fuzzy control methodology for discrete-time Takagi–Sugeno (T–S) systems in this work. The observed-state error is utilized to derive the event condition. Sufficient condition for the asymptotic stability of the closed-loop fuzzy system and the observer error system under the event-triggered fuzzy control is provided by linear matrix inequality (LMI). Moreover, the corresponding self-triggered (ST) fuzzy control is developed where the following control action is estimated in terms of the current sampled data. Furthermore, simulations are given to represent the feasibility and efficiency of the achieved results.

Original languageEnglish
Pages (from-to)2295-2309
Number of pages15
JournalJournal of the Franklin Institute
Issue number5
StatePublished - 1 Mar 2017

Bibliographical note

Publisher Copyright:
© 2016 The Franklin Institute

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Applied Mathematics


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