Minimizing TS controller via HOSVD

Research output: Contribution to journalConference article

Abstract

One of the usual important criteria to be considered in real time control applications is the computational complexity of the controllers, observers and models applied. In this paper a higher order singular value decomposition (HOSVD) based complexity reduction technique is proposed to Takagi Sugeno (TS) fuzzy methods, which is capable of defining the contribution of each local linear model included in the TS fuzzy model. This helps us with discarding the weakly contributing ones according to a given threshold. Reducing the number of models leads directly to the computational complexity reduction.

Original languageEnglish
Pages (from-to)128-133
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
Volume1
Publication statusPublished - Dec 31 2002
Event2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States
Duration: May 12 2002May 17 2002

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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