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Modeling A Nonlinear Liquid Level System By Cellular Neural Networks

Author

Listed:
  • NORBERTO HERNANDEZ-ROMERO

    (Centro de Investigación Avanzada en Ingeniería Industrial, Universidad Autónoma del Estado de Hidalgo, Pachuca Hidalgo 42184, México)

  • JUAN CARLOS SECK-TUOH-MORA

    (Centro de Investigación Avanzada en Ingeniería Industrial, Universidad Autónoma del Estado de Hidalgo, Pachuca Hidalgo 42184, México)

  • MANUEL GONZALEZ-HERNANDEZ

    (Centro de Investigación Avanzada en Ingeniería Industrial, Universidad Autónoma del Estado de Hidalgo, Pachuca Hidalgo 42184, México)

  • JOSELITO MEDINA-MARIN

    (Centro de Investigación Avanzada en Ingeniería Industrial, Universidad Autónoma del Estado de Hidalgo, Pachuca Hidalgo 42184, México)

  • JUAN JOSE FLORES-ROMERO

    (Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58190, México)

Abstract

This paper presents the analogue simulation of a nonlinear liquid level system composed by two tanks; the system is controlled using the methodology of exact linearization via state feedback by cellular neural networks (CNNs). The relevance of this manuscript is to show how a block diagram representing the analogue modeling and control of a nonlinear dynamical system, can be implemented and regulated by CNNs, whose cells may contain numerical values or arithmetic and control operations. In this way the dynamical system is modeled by a set of local-interacting elements without need of a central supervisor.

Suggested Citation

  • Norberto Hernandez-Romero & Juan Carlos Seck-Tuoh-Mora & Manuel Gonzalez-Hernandez & Joselito Medina-Marin & Juan Jose Flores-Romero, 2010. "Modeling A Nonlinear Liquid Level System By Cellular Neural Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 489-501.
    • Handle: RePEc:wsi:ijmpcx:v:21:y:2010:i:04:n:s0129183110015245
    DOI: 10.1142/S0129183110015245
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