A research on neural network based optimal control for greenhouse climate

Author

Zonghai, Chen ; Yunjiang, Lou ; Zhibin, Xu

Author_Institution

Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China

Volume

1

fYear

2000

fDate

2000

Firstpage

456

Abstract

Making use of the greenhouse and other assorted equipment, protected horticulture realizes the control of temperature, light, water, fertilizer and air to obtain the production of horticulture under the condition of the best growth environment. The typical mathematical model of greenhouse climate is given in the paper, and based on this model, the control relationship of the key parameters is described. In the latter part of the paper, the control model of greenhouse climate and the structure of neural network model are given, and we discuss the optimal control of a practical greenhouse in the end

Keywords

agriculture; chemical variables control; humidity control; intelligent control; lighting control; neurocontrollers; optimal control; temperature control; best growth environment; greenhouse climate; neural network based optimal control; protected horticulture; Automatic control; Automation; Chemical technology; Chemistry; Educational institutions; Lighting control; Mathematical model; Neural networks; Optimal control; Protection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.860007

Filename

860007