H fuzzy filter for nonlinear sampled-data system using fuzzy Lyapunov function

Ho Jun Kim, Jin Bae Park, Young Hoon Joo

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

Abstract

This paper proposes an H fuzzy filter for nonlinear sampled-data system. The nonlinear system is represented based on the Takagi-Sugeno (T-S) fuzzy model. An error system between the nonlinear sampled-data system and fuzzy filter is presented. Using a fuzzy Lyapunov function, sufficient conditions for showing H performance of the fuzzy filter are proposed. The sufficient conditions are derived in terms of linear matrix inequalities (LMIs) which can be easily solved using convex optimization technique. Finally, simulation example is provided to show the feasiblity of the proposed method.

Original languageEnglish
Title of host publicationICCAS 2016 - 2016 16th International Conference on Control, Automation and Systems, Proceedings
PublisherIEEE Computer Society
Pages1393-1396
Number of pages4
ISBN (Electronic)9788993215120
DOIs
Publication statusPublished - 2016 Jan 24
Event16th International Conference on Control, Automation and Systems, ICCAS 2016 - Gyeongju, Korea, Republic of
Duration: 2016 Oct 162016 Oct 19

Publication series

NameInternational Conference on Control, Automation and Systems
Volume0
ISSN (Print)1598-7833

Other

Other16th International Conference on Control, Automation and Systems, ICCAS 2016
CountryKorea, Republic of
CityGyeongju
Period16/10/1616/10/19

All Science Journal Classification (ASJC) codes

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

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    Kim, H. J., Park, J. B., & Joo, Y. H. (2016). H fuzzy filter for nonlinear sampled-data system using fuzzy Lyapunov function. In ICCAS 2016 - 2016 16th International Conference on Control, Automation and Systems, Proceedings (pp. 1393-1396). [7832505] (International Conference on Control, Automation and Systems; Vol. 0). IEEE Computer Society. https://doi.org/10.1109/ICCAS.2016.7832505