Robust stability criteria for Takagi-Sugeno fuzzy systems with sampled-data

H. Y. Jung, Yajuan Liu, S. M. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the robust stability of Takagi-Sugeno(T-S) fuzzy systems with sampled-data. By constructing an augmented modified Lyapunov-Krasovskii functional, which includes three triple integrals, some less conservative results are obtained compared with the existing results. Numerical examples are presented to demonstrate the improvement of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015
EditorsDavid de la Fuente, Roger Dziegiel, Elena B. Kozerenko, Peter M. LaMonica, Raymond A. Liuzzi, Jose A. Olivas, Todd Waskiewicz, George Jandieri, Hamid R. Arabnia
PublisherCSREA Press
Pages391-392
Number of pages2
ISBN (Electronic)1601324073, 9781601324078
StatePublished - 2019
Event2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015 - Las Vegas, United States
Duration: 27 Jul 201530 Jul 2015

Publication series

NameProceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015

Conference

Conference2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015
Country/TerritoryUnited States
CityLas Vegas
Period27/07/1530/07/15

Keywords

  • Linear Matrix Inequality
  • Lyapunov-Krasovskii functional
  • Takagi-Sugeno fuzzy systems
  • Time-varying delay

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