Multiple neural control of a greenhouse

In this paper an ART2 classifier is used to extract local models of a database taken from a greenhouse. Once the clusters are formed, multilayer feed-forward neural networks are then trained to model each cluster (subsystem) in order to achieve a multiple neural control of the greenhouse. The considered control strategy consists of the division of the greenhouse control phase in periods where a suitable controller is selected to drive the internal climate of the greenhouse, which is modeled with an Elman neural network. The same ART2 classifier is then used as a supervisor to select the suitable neural controller corresponding to the appropriate mode.

[1]  Konstantinos G. Arvanitis,et al.  A nonlinear feedback technique for greenhouse environmental control , 2003 .

[2]  Duc Truong Pham,et al.  Neural Networks for Identification, Prediction and Control , 1995 .

[3]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  Wen Yu,et al.  Multiple recurrent neural networks for stable adaptive control , 2006, Neurocomputing.

[5]  Kumpati S. Narendra,et al.  Adaptation and learning using multiple models, switching, and tuning , 1995 .

[6]  Fathi Fourati,et al.  A greenhouse control with feed-forward and recurrent neural networks , 2007, Simul. Model. Pract. Theory.

[7]  Kumpati S. Narendra,et al.  Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.

[8]  Torsten Kuhlen,et al.  Comparative analysis of fuzzy ART and ART-2A network clustering performance , 1998, IEEE Trans. Neural Networks.

[9]  H. Tong.  Non-linear time series. A dynamical system approach , 1990 .

[10]  Michael Athans,et al.  Analysis of gain scheduled control for nonlinear plants , 1990 .

[11]  Tor Arne Johansen,et al.  State-Space Modeling using Operating Regime Decomposition and Local Models , 1993 .

[12]  A. Sideris,et al.  A multilayered neural network controller , 1988, IEEE Control Systems Magazine.

[13]  Peter J. Gawthrop,et al.  Neural networks for control systems - A survey , 1992, Autom..

[14]  Kumpati S. Narendra,et al.  Adaptive control using multiple models , 1997, IEEE Trans. Autom. Control..

[15]  Hai-Gen Hu,et al.  RBF Network Based Nonlinear Model Reference Adaptive PD Controller Design for Greenhouse Climate , 2011 .

[16]  Stephen Grossberg,et al.  ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition , 1991, Neural Networks.

[17]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..