Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model

Dae Young Kim, Jin Bae Park, Young Hoon Joo

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

2 Citations (Scopus)

Abstract

This paper presents output feedback stabilization condition for nonlinear using artificial Takagi-Sugeno (T-S) fuzzy systems. Continuous membership functions of the T-S fuzzy model are represented by staircase ones. Stabilization condition in terms of linear-matrix-inequalities (LMIs) formulation is derived using the artificial T-S fuzzy model and Lyapunov function. Controller gains of output feedback T-S fuzzy systems are obtained using LMIs solutions. Finally, simulation example is given to illustrate the merits of the proposed method.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages96-100
Number of pages5
Publication statusPublished - 2012 Dec 1
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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  • Cite this

    Kim, D. Y., Park, J. B., & Joo, Y. H. (2012). Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model. In ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems (pp. 96-100). [6393411] (International Conference on Control, Automation and Systems).