Stabilization of polynomial fuzzy large-scale system: Sum-of-square approach

Han Sol Kim, Jin Bae Park, Young Hoon Joo

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

6 Citations (Scopus)

Abstract

This paper presents a polynomial fuzzy method approach to stabilize the nonlinear large-scale system. Unlike conventional T-S fuzzy system, polynomial fuzzy system contains polynomial matrix. Since polynomial fuzzy system has polynomial matrix, this system has less IF-THEN rules than T-S fuzzy system. Based on the proposed method, stabilization condtiion is derived in the form of polynomial and solved by sum-of-square method. Finally, some examples demonstrate that the proposed condition is adoptable in modeling and stabilization for the nonlinear large-scale system.

Original languageEnglish
Title of host publicationICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems
Pages1462-1466
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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    Kim, H. S., Park, J. B., & Joo, Y. H. (2011). Stabilization of polynomial fuzzy large-scale system: Sum-of-square approach. In ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems (pp. 1462-1466). [6106160] (International Conference on Control, Automation and Systems).