Intelligent digital redesign for fuzzy systems with the fuzzy dynamic output-feedback controller

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

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

Abstract

This paper presents a intelligent digital redesign technique for the fuzzy dynamic output-feedback controller of the nonlinear system. A Takagi-Sugeno fuzzy model is adopted for the nonlinear system and the discretized models of the analog and digital closed-loop system with fuzzy dynamic output-feedback controllers, respectively. Sufficient conditions are derived for both the stabilization of the digital closed-loop system and minimization of the matrix norm distance between the analog and digital closed-loop system matrices. Its sufficient conditions are formulated in terms of linear matrix inequalities. Finally, a numerical example is provided to verify the effectiveness of the proposed technique.

Original languageEnglish
Title of host publicationICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems
Pages668-672
Number of pages5
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of
Duration: 2013 Oct 202013 Oct 23

Publication series

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

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
CountryKorea, Republic of
CityGwangju
Period13/10/2013/10/23

All Science Journal Classification (ASJC) codes

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

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    Koo, G. B., Park, J. B., & Joo, Y. H. (2013). Intelligent digital redesign for fuzzy systems with the fuzzy dynamic output-feedback controller. In ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems (pp. 668-672). [6703953] (International Conference on Control, Automation and Systems). https://doi.org/10.1109/ICCAS.2013.6703953