Stabilization of discrete-time interval type-2 fuzzy-model-based systems

Yabin Gao, Yiyong Sun, Hongyi Li, Qing Lu

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

Abstract

This paper investigates the state-feedback control problem for the discrete-time interval type-2 (IT2) fuzzy systems. The IT2 fuzzy controller can be characterized by two predefined functions, and the membership functions together with the number of the IT2 controller fuzzy rules can be chosen freely. Using Lyapunov stability theory, sufficient criteria of asymptotic stability are derived for the discrete-time IT2 fuzzy-model-based systems. Based on the criterion, the desired IT2 state-feedback controller is designed to guarantee the asymptotic stability of the closed-loop system. Finally, a practical example is given to verify the effectiveness of the proposed design scheme.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1238-1241
Number of pages4
ISBN (Electronic)9781479925384
DOIs
Publication statusPublished - 31 Aug 2015
Externally publishedYes
EventInternational Conference on Mechatronics and Control, ICMC 2014 - Jinzhou, China
Duration: 3 Jul 20145 Jul 2014

Publication series

NameProceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014

Conference

ConferenceInternational Conference on Mechatronics and Control, ICMC 2014
Country/TerritoryChina
CityJinzhou
Period3/07/145/07/14

Keywords

  • Asymptotic stability
  • Control systems
  • Cybernetics
  • Fuzzy logic
  • Fuzzy systems
  • Stability analysis
  • Symmetric matrices

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