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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 1998: Tasks and Methods in Applied Artificial Intelligence pp 271–279Cite as

MIMO predictive control of temperature and humidity inside a greenhouse using simulated annealing (SA) as optimizer of a multicriteria index

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1416))

Abstract

Correct climate control improves the quality of productions in greenhouses. Those control techniques that do not take into account the non-linear and multivariable features of the climate in the greenhouse, cannot achieve good performance (set-points will not be accomplished). This paper presents a Predictive Contro based technique using a mathematical model of the climate behaviour and Simulated Annealing as optimizer. Results show that this technique can be useful when dealing with non-linear and multivariable plants, even if constraints in the control actions are considered.

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Authors and Affiliations

  1. Departamento de Ingeniería de Sistemas y Automática, Universidad Politécnica de Valencia, 46022, Valencia, Spain

    Juan. S. Senent, Miguel A. Martinez, Xavier Blasco & Javier Sanchis

Authors
  1. Juan. S. Senent
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  2. Miguel A. Martinez
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  3. Xavier Blasco
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  4. Javier Sanchis
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Editor information

Angel Pasqual del Pobil José Mira Moonis Ali

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© 1998 Springer-Verlag Berlin Heidelberg

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Senent, J.S., Martinez, M.A., Blasco, X., Sanchis, J. (1998). MIMO predictive control of temperature and humidity inside a greenhouse using simulated annealing (SA) as optimizer of a multicriteria index. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_413

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  • DOI: https://doi.org/10.1007/3-540-64574-8_413

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64574-0

  • Online ISBN: 978-3-540-69350-5

  • eBook Packages: Springer Book Archive

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