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Neural Network Control of Heat Exchanger Plant

  • Mahdi Jalili-Kharaajoo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)

Abstract

In this paper, a neural network based controller is applied to a heat exchanger pilot plant. The dynamics of the plant is identified using an MLP neural network. Then, the predictive control strategy based on the neural network model of the plant is applied to provide set point tracking of the output of the plant. Also, the performance of the proposed controller is compared with that of Generalized Predictive Control (GPC) through simulation studies. Obtained results demonstrate the effectiveness and superiority of the proposed approach.

Keywords

Heat Exchanger Model Predictive Control Neural Network Control Generalize Predictive Control Control Input Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Mahdi Jalili-Kharaajoo
    • 1
  1. 1.Young Researchers ClubIslamic Azad UniversityTehranIran

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