Controlling batch polymerization reactors imposes great operational difficulties due to the
complex reaction kinetics, inherent process nonlinearities and the continuous demand for …

A multivariable control strategy based on model predictive control techniques for the control
of variable-speed variable pitch wind energy conversion systems (WECSs) in the above …

The performances of three advanced non-linear controllers are analyzed for the optimal set
point tracking of styrene free radical polymerization (FRP) in batch reactors. The three …

A milk pasteurization process, a nonlinear process and multivariable interacting system, is
difficult to control by the conventional on–off controllers since the on–off controller can …

As a first endeavor, an approach for the two-and three-dimensional temperature control of
functionally graded (FG) plates by using the inverse solution and the proportional-differential …

Crystallization processes have been widely used for separation in many fields to provide a
high purity product. In this work, dynamic optimization and neural network (NN) have been …

Novel model predictive control (MPC) based on a sequence of reduced-order models is
developed for a ternary batch distillation operated in an optimal reflux policy. A Kalman filter …

Methyl methacrylate (MMA) production in an exothermic batch reactor provides a
challenging problem for studying its dynamics behavior and temperature control. This work …

This study provides an overall strategy for building an effective model-based control scheme
for the highly exothermic phenol-formaldehyde reaction for the production of 1, 3, 5 …

With massive data of a fermentation process, a single data-based soft-sensor modeling
method suffers from heavy features and bad accuracy. A novel soft sensor using multi-model …