Polynomial fuzzy-model-based control systems: Stability analysis via RHS copositive relaxation

Ji Chang Lo, Feng Yi Lin, Ge Chang Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Based on recent results on homogeneous polynomially parameter-dependent (HPPD) solutions to parameter-dependent LMIs (PD-LMIs), we investigate, via right-hand side (RHS) relaxations, the stability analysis of polynomial fuzzy-model-based control systems. The PFMB control system under consideration requires that the polynomial fuzzy model and controller share (1) perfect match or (2) un-perfect match of premise membership functions. This paper proposes a new SOS condition via RHS relaxation and reduces the conservatism of existing PD-LMI results. To verify the analytical theories regarding PFMB stability, two examples are demonstrated to show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationFUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013 - Hyderabad, India
Duration: 7 Jul 201310 Jul 2013

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013
Country/TerritoryIndia
CityHyderabad
Period7/07/1310/07/13

Keywords

  • Parameter-dependent linear matrix inequality (PD-LMI)
  • Polynomial TS fuzzy models
  • Right-hand side (RHS) relaxations
  • Sum of squares (SOS)

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