Optimal design of interval type 2 fuzzy controllers based on a simple tuning algorithm

J. C. Cortes-Rios, E. Gomez-Ramirez, H. A. Ortiz-De-La-Vega, O. Castillo, P. Melin

Research output: Contribution to journalArticlepeer-review


Evolutionary algorithms are one of the most common choices reported in the literature for the tuning of fuzzy logic controllers based on either type-1 or type-2 fuzzy systems. An alternative to evolutionary algorithms is the simple tuning algorithm (STA-FLC), which is a methodology designed to improve the response of type-1 fuzzy logic controllers in a practical, intuitive and simple ways. This paper presents an extension of the simple tuning algorithm for fuzzy logic controllers based on the theory of type-2 fuzzy systems by using a parallel model implementation, it also includes a mechanism to calculate the feedback gain, new integral criteria parameters, and the effect of the AND/OR operator combinations on the fuzzy rules to improve the algorithm applicability and performance. All these improvements are demonstrated with experiments applied to different types of plants.

Original languageEnglish
Pages (from-to)270-285
Number of pages16
JournalApplied Soft Computing
Publication statusPublished - 1 Jan 2014


  • Fuzzy controllers
  • Parameter tuning algorithm
  • Type-2 fuzzy logic


Dive into the research topics of 'Optimal design of interval type 2 fuzzy controllers based on a simple tuning algorithm'. Together they form a unique fingerprint.

Cite this