Soft computing for greenhouse climate control

The methodology proposed in the paper applies artificial intelligence (AI) techniques to the modeling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity in such systems are, in fact, difficult to model and co...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2000-12, Vol.8 (6), p.753-760
Main Authors: Caponetto, R., Fortuna, L., Nunnari, G., Occhipinti, L., Xibilia, M.G.
Format: Article
Language:English
Subjects:
Artificial intelligence
Control systems
Expert systems
Fuzzy logic
Humidity control
Nonlinear control systems
PD control
Plants (biology)
Proportional control
Temperature control
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Summary:The methodology proposed in the paper applies artificial intelligence (AI) techniques to the modeling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity in such systems are, in fact, difficult to model and control using traditional techniques. The paper proposes a framework for the development of soft computing-based controllers in modern greenhouses.
ISSN:1063-6706
1941-0034
DOI:10.1109/91.890333