DocumentCode :
352722
Title :
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
Link To Document :
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