RT Journal Article ID 373471a33e504f26 A1 Aissi, El A1 Messaoud, Hassani T1 Predictive Control of a Humidifying Process Modelled on Reproducing Kernel Hilbert Spaces JF Heat Transfer Research JO HTR YR 2005 FD 2005-06-28 VO 36 IS 3 SP 151 OP 169 AB 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. PB Begell House LK https://www.dl.begellhouse.com/journals/46784ef93dddff27,622a96484c95e9c8,373471a33e504f26.html