Autors: Todorov, Y., Ahmed, S. A., Petrov, M. G., Chitanov, V.
Title: Implementations of a Hammerstein Fuzzy-Neural Model for Predictive Control of a Lyophilization Plant
Keywords: predictive control, fuzzy-neural models, optimization

Abstract: Abstract—This paper describes two methodologies for implementation of Hammerstein model by using different input-output representations into model predictive control schemes. The model nonlinearity is easily approximated using a simple Takagi-Sugeno inference, while the linear parts are flexibly introduced. As optimization procedures for predictive control are used a standard gradient optimization method and an implementation of Hildreth Quadratic Programming. A comparison between the proposed control strategies is made by simulation experiments for control of nonlinear lyophilization plant.

References

    Issue

    2012 IEEE 6th International Conference 'Intelligent Systems', vol. 1, issue 1, pp. 316-321, 2012, Bulgaria, IEEE, ISBN ISBN 978-1-4673-2277-5

    Copyright Copyright ©2012 by IEEE

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    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science