A NEW APPROACH OF THE NEURAL PREDICTIVE CONTROL APPLIED IN A THERMOELECTRIC MODULE

Adhemar de Barros Fontes, Pablo Amorim, Márcio Ribeiro da Silva Garcia

2009

Abstract

This article presents an efficient solution for predictive control based on neural networks with feedfoward multilayer, as a model for a thermoelectric module. It is shown the capability of a neural network to learn the entire nonlinear dynamics and the advantage of using these nonlinear models for the calculation of the predicted variables. It is also suggested a new control law capable of minimize the cost function using the Newton-Raphson and the descendent gradient optimization rules. For this application it is shown that a significant reduction in the number of iterations and application in real-time systems when compared to other optimization techniques.

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Paper Citation


in Harvard Style

de Barros Fontes A., Amorim P. and Ribeiro da Silva Garcia M. (2009). A NEW APPROACH OF THE NEURAL PREDICTIVE CONTROL APPLIED IN A THERMOELECTRIC MODULE . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 189-194. DOI: 10.5220/0002193001890194


in Bibtex Style

@conference{icinco09,
author={Adhemar de Barros Fontes and Pablo Amorim and Márcio Ribeiro da Silva Garcia},
title={A NEW APPROACH OF THE NEURAL PREDICTIVE CONTROL APPLIED IN A THERMOELECTRIC MODULE},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={189-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002193001890194},
isbn={978-989-8111-99-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - A NEW APPROACH OF THE NEURAL PREDICTIVE CONTROL APPLIED IN A THERMOELECTRIC MODULE
SN - 978-989-8111-99-9
AU - de Barros Fontes A.
AU - Amorim P.
AU - Ribeiro da Silva Garcia M.
PY - 2009
SP - 189
EP - 194
DO - 10.5220/0002193001890194