Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/87980
Type: Conference paper
Title: Kalman filtering on greenhouse climate control
Author: Shi, P.
Luan, X.
Liu, F.
Karimi, H.
Citation: Proceedings of the 31st Chinese Control Conference, 2012 / pp.779-784
Publisher: IEEE
Publisher Place: USA
Issue Date: 2012
ISBN: 9781467325813
ISSN: 1934-1768
2161-2927
Conference Name: Chinese Control Conference (CCC) (25 Jul 2012 - 27 Jul 2012 : Hefei, China)
Statement of
Responsibility: 
Peng Shi, Xiaoli Luan, Fei Liu, Hamid Reza Karimi
Abstract: This study is on the development of an extended Kalman filter used in conjunction with a nonlinear feedback controller for greenhouse climate control systems. In this paper, the measured variables are corrupted by the sensor noises and the system dynamics is influenced by process noises as well. So an extended Kalman filter algorithm has been carried out to estimate the states and to filter out the noises in parallel to augment the proposed control design. The proposed method not only decreases the errors between the current states and their desired values, but also smoothes the control signals, which will increase the life time of the actuators and decrease the operating cost and low investment capacity of growers. The simulation results verify the effectiveness of the proposed approach and suggest it as a promising way for greenhouse climate control.
Keywords: Extended Kalman filter; Greenhouse; Climate control; State estimation; Sensor and process noises
RMID: 0020128380
Published version: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6390030
Appears in Collections:Electrical and Electronic Engineering publications

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