Soft computing for greenhouse climate control

被引：69

作者：

Caponetto, R. ^{[1
]}

Fortuna, L. ^{[2
]}

Nunnari, G. ^{[2
]}

Occhipinti, L. ^{[1
]}

Xibilia, M.G. ^{[3
]}

机构：

[1] Soft Computing Group, STMicroelectronics

[2] System and Control Group, University of Catania

[3] Dipartimento di Matematica, University of Messina

来源：

| 2000年 / IEEE, Piscataway, NJ, United States卷 / 08期

关键词：

D O I：

10.1109/91.890333

中图分类号：

学科分类号：

摘要：

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.

引用

页码：753 / 760

页数：7

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