An approach for dynamical adaptive fuzzy modeling

M. Cerrada, J. Aguilar, E. Colina, A. Titli

Research output: Contribution to journalConference articlepeer-review


In this work, an approach for the development of adaptive fuzzy models is presented. The approach allows to incorporate the system dynamics into the fuzzy membership functions which are defined in terms of a dynamic function with adjustable parameters. These parameters are adapted using a gradient descent based algorithm. Some application examples to illustrate the performance of the dynamical adaptive fuzzy models on system identification are presented.

Original languageEnglish (US)
Pages (from-to)156-161
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
StatePublished - 2002
Externally publishedYes
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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