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Todorov Y.,Institute of Cryobiology and Food Technologies Sofia | Ahmed S.,Technical University of Sofia | Petrov M.,Technical University of Sofia | Chitanov V.,Bulgarian Academy of Science
IS'2012 - 2012 6th IEEE International Conference Intelligent Systems, Proceedings | Year: 2012

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. © 2012 IEEE. Source

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