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VS-Diagrams Identification and Classification Using Neural Networks

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Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5518))

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Abstract

VS (Virtual Supervisor) Diagrams, defined from the FPM (Finite Positions Machines) framework, are used to model, analyze and validate automated manufacturing systems and they are obtained, in a practical way, from the PLC (Programmable Logic Controller) signals. This current paper presents a neural network architecture in order to identify that type of diagrams. It is made up of a supervised Hebb neural network cascade linked to a recurrent Hopfield network.

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References

  1. Gómez, D., Trujillo, J.A., Baeyens, E., Moya, E.J.: Analysis of Production Systems Using the VS-Diagram. In: International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), pp. 443–451 (2008)

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  2. Cárdenas, C.: Product Supervisors Design and ECA rules application on Finite Position Machines to Control Manufacturing Processes. Thesis, Universidad de Valladolid (2006)

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  3. Trujillo, J.A.: Finite Position Machine for Logic Control: Pattern Composition in Reconfigurable Manufacturing Systems. Thesis. Universidad de Valladolid (2004)

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  4. Demuth, H., Beale, M., Hagan, M.: Neural Network Toolbox 6: User’s Guide. The MathWorks, Inc. (2008)

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Author information

Authors and Affiliations

  1. Fundación CARTIF, Parque Tecnológico de Boecillo, Parcela 205, 47151, Valladolid, Spain

    Daniel Gómez & Clemente Cárdenas

  2. Departamento Ingeniería de Sistemas y Automática, Universidad de Valladolid, Paseo del Cauce s/n, 47011, Valladolid, Spain

    Eduardo J. Moya & Enrique Baeyens

Authors
  1. Daniel Gómez
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  2. Eduardo J. Moya
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  3. Enrique Baeyens
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  4. Clemente Cárdenas
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Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan

    Sigeru Omatu

  2. Department of Informatics / CCTC, University of Minho, Braga, Portugal

    Miguel P. Rocha

  3. MAmI Research Lab, University of Castilla-La Mancha,, Ciudad Real, Spain

    José Bravo

  4. Department of Informatics, University of Vigo, Ourense, Spain

    Florentino Fernández

  5. Grupo de Investigación GICAP, Área de Lenguajes Higher Polytechnic School, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  6. Higher Polytechnic School, University of Burgos, Burgos, Spain

    Andrés Bustillo

  7. Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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© 2009 Springer-Verlag Berlin Heidelberg

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Gómez, D., Moya, E.J., Baeyens, E., Cárdenas, C. (2009). VS-Diagrams Identification and Classification Using Neural Networks. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_34

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  • DOI: https://doi.org/10.1007/978-3-642-02481-8_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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