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Embedded Dynamic Fuzzy Cognitive Maps for Controller in Industrial Mixer

  • Márcio Mendonça
  • Flávio NevesJr.
  • Lúcia V. R. de Arruda
  • Ivan Rossato Chrun
  • Elpiniki I. Papageorgiou
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 57)

Abstract

This paper presents the application of certain intelligent techniques to control an industrial mixer. Control design is based on Hebbian modification of Fuzzy Cognitive Maps learning. This research study develops a Dynamic Fuzzy Cognitive Map (DFCM) based on Hebbian Learning algorithms. It was used Fuzzy Classic Controller to help validate simulation results of an industrial mixer of DFCM. Experimental analysis of simulations in this control problem was conducted. Additionally, the results were embedded using efficient algorithms into the Arduino platform in order to acknowledge the performance of the codes reported in this paper.

Keywords

Fuzzy Cognitive Maps Hebbian Learning Arduino microcontroller Process control Fuzzy logic 

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Copyright information

© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Márcio Mendonça
    • 1
  • Flávio NevesJr.
    • 1
  • Lúcia V. R. de Arruda
    • 1
  • Ivan Rossato Chrun
    • 1
  • Elpiniki I. Papageorgiou
    • 2
  1. 1.Paraná Federal Technological University CPGEICuritibaBrazil
  2. 2.Department of Computer EngineeringTechnological Education Institute/University of Applied Sciences of Central GreeceLamiaGreece

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