Stabilization of fuzzy descriptor systems with imperfect premise matching

Ho Jun Kim, Jin Bae Park, Young Hoon Joo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is concerned with the stabilization problem of Takagi-Sugeno (T-S) fuzzy descriptor systems. The imperfect premise matching method is used in which T-S fuzzy plant and controller do not share same premise rules, i.e membership functions of plant and controller are different. By this method, the conservativeness of the stabilization conditions are reduced and flexibility in controller design is increased. Also, the larger class of systems than the conventional model can be described by the descriptor approach. The sufficient stabilization conditions are derived in terms of linear matrix inequalities (LMIs) which are solved easily by the LMI-toolbox in Matlab. The inverted pendulum simulation example is used to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages379-383
Number of pages5
Publication statusPublished - 2012
Event2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 - Jeju, Korea, Republic of
Duration: 2012 Oct 172012 Oct 21

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
CountryKorea, Republic of
CityJeju
Period12/10/1712/10/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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