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Heat Transfer Research

ISSN for PRINT: 1064-2285

Institutional price:	$2485.00
Issues per year:	8

Best Paper Award Selection - Editorial Board Site

2005, Volume36

96 pages

DOI: 10.1615/HeatTransRes.v36.i3

Issue price - $337.00

Predictive Control of a Humidifying Process Modelled on Reproducing Kernel Hilbert Spaces

El Aissi
Institut Supérieur des Etudes Technologiques de Sousse, Cité Erriadh Sousse, France

H. Messaoud
Unité de Recherche ATSI, Ecole Nationale d'Ingénieurs de Monastir, Rue Ibn EL Jazzar 5019 Monastir, Tunisia

ABSTRACT

This paper focuses on the Model Based Predictive Control (MBPC) of the humidifying process inside a drying blower. This process is known to have a nonlinear behavior. To synthesize the MBP control, we used a Reproducing Kernel Hilbert Space (RKHS) model with reduced complexity. The identification of this model is carried in a black box context with no a priori information needed, using the Statistical Learning Techniques (SLT). This model is linear with respect to its parameters and copes well with the nonlinear systems approximation problems. The proposed algorithm is used to regulate the humidity inside a drying blower.