Sampled-data fuzzy observer design of nonlinear system for wave energy converter

Genu Bum Koo, Jin Bae Park, Young Hoon Joo

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

1 Citation (Scopus)

Abstract

This paper presents a sampled-data fuzzy observer of nonlinear system for wave energy converter. The forces which affect the wave energy converter are analyzed and the dynamic equation is represented for observer design. A Takagi-Sugeno (T-S) fuzzy model is adopted for the nonlinear systems. In the T-S fuzzy model with sampled-data fuzzy observer, it obtains the norm inequality between the continuous-time state variable and the discrete-time one. Based on the norm inequality, sufficient conditions are derived for decreasing the estimation error and formulated in terms of linear matrix inequalities. Finally, a simulation is provided to verify the effectiveness of the proposed technique.

Original languageEnglish
Title of host publicationICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems
Pages1639-1643
Number of pages5
Publication statusPublished - 2011
Event2011 11th International Conference on Control, Automation and Systems, ICCAS 2011 - Gyeonggi-do, Korea, Republic of
Duration: 2011 Oct 262011 Oct 29

Publication series

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

Other

Other2011 11th International Conference on Control, Automation and Systems, ICCAS 2011
CountryKorea, Republic of
CityGyeonggi-do
Period11/10/2611/10/29

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

    Koo, G. B., Park, J. B., & Joo, Y. H. (2011). Sampled-data fuzzy observer design of nonlinear system for wave energy converter. In ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems (pp. 1639-1643). [6106257] (International Conference on Control, Automation and Systems).