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Complex system modeling using TSK fuzzy cellular automata and differential evolution

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

1 Scopus citations

Abstract

This paper presents a proposal to model the dynamics of complex systems that can be represented as homogeneous continuous cellular automata. The method includes a homogeneous fuzzy cellular automaton whose representative cell is a Takagi-Sugeno-Kang fuzzy system. This cell is tuned by means of the differential evolution algorithm, which tries to optimize a similarity measure between the dynamics of the target complex system and the automaton. The experiments show that our approach is able to obtain a valid model for a complex system that exhibits a two-dimensional nonlinear wave scheme.

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: 07 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
Period07/07/1310/07/13

Keywords

  • Cellular automata
  • Complex systems
  • Evolutionary algorithms
  • Fuzzy modeling
  • Fuzzy systems

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