A greenhouse control with feed-forward and recurrent neural networks

被引:97
作者
Fourati, Fathi [1 ]
Chtourou, Mohamed [1 ]
机构
[1] Optimizat & Design Complex Syst, ENIS, ICOS, Sfax 3038, Tunisia
关键词
greenhouse; neural networks; neural model; neural controller;
D O I
10.1016/j.simpat.2007.06.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Greenhouses are classified as complex systems, so it is difficult to implement classical control methods for this kind of process. In our case we have chosen neural network techniques to drive the internal climate of a greenhouse. An Elman neural network has been used to emulate the direct dynamics of the greenhouse. Based on this model, a multilayer feed-forward neural network has been trained to learn the inverse dynamics of the process to be controlled. The inverse neural network has been placed in cascade with the neural model in order to drive the system outputs to desired values. Simulation results will be given to prove the performance of neural networks in control of the greenhouse. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:1016 / 1028
页数:13
相关论文
共 17 条
[1]  
Cabera J. B. D., 1999, IEEE T AUTOMATIC CON, V44, P2007
[2]  
Cybenko G., 1989, Mathematics of Control, Signals, and Systems, V2, P303, DOI 10.1007/BF02551274
[3]  
DREYFUS G, 2004, RESEAUX NEURONES MET
[4]   Non-linear constrained MPC: Real-time implementation of greenhouse air temperature control [J].
El Ghoumari, MY ;
Tantau, HJ ;
Serrano, JS .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2005, 49 (03) :345-356
[5]   FINDING STRUCTURE IN TIME [J].
ELMAN, JL .
COGNITIVE SCIENCE, 1990, 14 (02) :179-211
[6]  
FOURATI F, 2005, THESIS ENIS SFAX TUN
[7]  
Gaudin, 1981, THESIS U NANTES
[8]   NEURAL NETWORKS FOR CONTROL-SYSTEMS - A SURVEY [J].
HUNT, KJ ;
SBARBARO, D ;
ZBIKOWSKI, R ;
GAWTHROP, PJ .
AUTOMATICA, 1992, 28 (06) :1083-1112
[9]  
Lafont F., 2004, INT J COMPUT COGN, V2, P21
[10]   CONTROL OF NONLINEAR DYNAMIC-SYSTEMS USING NEURAL NETWORKS - CONTROLLABILITY AND STABILIZATION [J].
LEVIN, AU ;
NARENDRA, KS .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1993, 4 (02) :192-206