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Implementation of a microcontroller-based simplified FITA-FIS model

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

The paper describes basic approach to building a general purpose MISO-FITA (multiple inputs single output rule based system) fuzzy logic inference system. It is also discussed classic and simplified models of the inference systems and some optimization methods of its architecture. The fuzzy engine of the proposed system is based on simplified Mamdani's fuzzy inference model. It has been implemented on the sample platform based on ARMv7 Cortex-M4 microcontroller. The performance of the fuzzy inference system, defined as a time to obtain an output crisp inference result, is higher or comparable to another software and hardware solutions. For proposed system it even takes 10 μs.

Original languageEnglish
Pages (from-to)22-27
Number of pages6
JournalMicroprocessors and Microsystems
Volume44
DOIs
Publication statusPublished - Jul 2016

Keywords

  • ARM
  • Fuzzy control
  • Fuzzy logic
  • Fuzzy system
  • Microcontroller

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

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