Handling uncertainty in controllers using type-2 fuzzy logic

Roberto Sepúlveda, Oscar Castillo, Patricia Melin, Oscar Montiel, A. Rodríguez-Díaz

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

In this paper, we show the advantages of using type-2 fuzzy logic in the design of controllers for real-world applications because of their inherent uncertainty. We support this statement with experimental results, qualitative observations, and quantitative measures of errors. For quantifying the errors, we utilized three widely accepted performance criteria, namely: Integral of Square Error (ISE), Integral of the Absolute value of the Error (IAE), and Integral of the Time multiplied by the Absolute value of the Error (ITAE).

Original languageEnglish
Pages (from-to)237-262
Number of pages26
JournalJournal of Intelligent Systems
Volume14
Issue number2-3
DOIs
StatePublished - 2005

Keywords

  • Fuzzy controller
  • Fuzzy logic
  • IAE
  • ISE
  • ITAE
  • Type-1
  • Type-2

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