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Volume 11 Issue 6
December  2014
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Majda Ltaief, Anis Messaoud and Ridha Ben Abdennour. Optimal Systematic Determination of Models' Base for Multimodel Representation: Real Time Application. International Journal of Automation and Computing, vol. 11, no. 6, pp. 644-652, 2014. https://doi.org/10.1007/s11633-014-0815-4
Citation: Majda Ltaief, Anis Messaoud and Ridha Ben Abdennour. Optimal Systematic Determination of Models' Base for Multimodel Representation: Real Time Application. International Journal of Automation and Computing, vol. 11, no. 6, pp. 644-652, 2014. https://doi.org/10.1007/s11633-014-0815-4
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Optimal Systematic Determination of Models' Base for Multimodel Representation: Real Time Application

doi: 10.1007/s11633-014-0815-4

  • Research Unit of Numerical Control of Industrial Processes, National School of Engineers of Gabes, University of Gabes St Omar Ibn El-Khattab, 6029 Gabes, Tunisia

  • Received Date: 2013-04-04
  • Rev Recd Date: 2013-11-21
  • Publish Date: 2014-12-20
    Abstract
  • The multimodel approach is a powerful and practical tool to deal with analysis, modeling, observation, emulation and control of complex systems. In the modeling framework, we propose in this paper a new method for optimal systematic determination of models' base for multimodel representation. This method is based on the classification of data set picked out of the considered system. The obtained cluster centers are exploited to provide the weighting functions and to deduce the corresponding dispersions and their models' base. A simulation example and an experimental validation on a semi-batch reactor are presented to evaluate the effectiveness of the proposed method.

     

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