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MASCONTROL: A MAS for System Identification and Process Control

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PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

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Abstract

In this paper, a MAS, called MASCONTROL for system identification and process control is presented, including an Ontology Agent. It implements a self- tuning regulator (STR) scheme. Defined classes, properties, axioms and individuals in the ontology are mainly related to control concepts. These definitions and other ones allow the system to make some interesting inferences from some axioms defined in the ontology.

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References

  1. Gonzalez, E.J., Hamilton, A., Moreno, L., Aguilar, R.M., Marichal, R.L.: Neural networks teaching using Evenet-2000. Computer Applications in Engineering Education 11(1), 1–5 (2003)

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Authors and Affiliations

  1. Departamento de Física Fundamental y Experimental, Electrónica y Sistemas, Universidad de La Laguna, Av. Astrofísico Fco. Sánchez, S/N., 38207, Tenerife, Spain

    Evelio J. González, Alberto Hamilton, Lorenzo Moreno, Roberto L. Marichal & Vanessa Muñoz

Authors
  1. Evelio J. González
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  2. Alberto Hamilton
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  3. Lorenzo Moreno
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  4. Roberto L. Marichal
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  5. Vanessa Muñoz
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  2. Department of Computer Science, Auckland University of Technology, 1020, Auckland, New Zealand

    Hans W. Guesgen

  3. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

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© 2004 Springer-Verlag Berlin Heidelberg

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González, E.J., Hamilton, A., Moreno, L., Marichal, R.L., Muñoz, V. (2004). MASCONTROL: A MAS for System Identification and Process Control. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_112

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  • DOI: https://doi.org/10.1007/978-3-540-28633-2_112

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

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