LMI relaxations for nonlinear fuzzy control systems via homogeneous polynomials

Jia Ren Wan, Ji Chang Lo

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

8 Scopus citations

Abstract

Based on recent results on homogeneous polynomially parameter-dependent (HPPD) solutions to parameterdependent LMIs (PD-LMIs) that arise from robust stability of linear parameter varying (LPV) systems, we investigate the relaxed conditions characterized by parameterdependent LMIs (PD-LMIs) in terms of firing strength belonging to the unit simplex, exploiting the algebraic property of Pólya's Theorem to construct a family of finite-dimensional LMI relaxations. The main contribution of this paper is that sets of relaxed LMIs are parameterized in term of the polynomial degree d. As d increases, progressively less conservative LMI conditions are generated, being easier satisfied due to more freedom provided by new variables involved. An example to illustrate the relaxation is provided.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Pages134-140
Number of pages7
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008 - Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Publication series

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

Conference

Conference2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Country/TerritoryChina
CityHong Kong
Period1/06/086/06/08

Keywords

  • Homogeneous polynomials
  • Linear matrix inequality (LMI)
  • Parameter-dependent LMIs (PD-LMIs)
  • Relaxation
  • TS fuzzy models

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