Soft computing for greenhouse climate control

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on fuzzy systems 2000-12, Vol.8 (6), p.753-760
Hauptverfasser: Caponetto, R., Fortuna, L., Nunnari, G., Occhipinti, L., Xibilia, M.G.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Control systems
Expert systems
Fuzzy logic
Humidity control
Nonlinear control systems
PD control
Plants (biology)
Proportional control
Temperature control
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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