Level Identification in Coupled Tanks Using Extreme Learning Machine

  • Alanio Ferreira de Lima
  • Gabriel F. Machado
  • Darielson A. SouzaEmail author
  • Francisco H. V. da Silva
  • Josias G. Batista
  • José N. N. Júnior
  • Deivid M. de Freitas
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1160)


This paper presents a study on the use of intelligent algorithms in the identification of nonlinear plant systems. The method of applied is an Artificial Neural Network (ANN) called Extreme Learning Machine (ELM), its choice for this work was because of its simplicity and high computational power. The nonlinear plant used is a bench of two coupled tanks. Several types of ELM ANN architectures have been tested. The architectures are all compared to each other using the adjusted R2 metric, it will faithfully evaluate the model approach including the number of neurons used in each ELM ANN architecture.


Systems identification Coupled tanks Artificial Neural Network Extreme Learning Machine 



The authors thank the IFCE (Federal Institute of Ceará-Fortaleza) and SENAI, for providing the experimental bench for the article.


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Alanio Ferreira de Lima
    • 1
  • Gabriel F. Machado
    • 2
  • Darielson A. Souza
    • 2
    Email author
  • Francisco H. V. da Silva
    • 3
  • Josias G. Batista
    • 2
    • 4
  • José N. N. Júnior
    • 2
  • Deivid M. de Freitas
    • 2
  1. 1.Federal University of Ceará-UFC, Campus SobralSobralBrazil
  2. 2.Federal University of Ceará-UFC, Campus PiciFortalezaBrazil
  3. 3.National Industrial Learning Service - SENAIFortalezaBrazil
  4. 4.Federal Institute of Education, Science and Technology of Ceará-IFCEFortalezaBrazil

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