Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...

Models and modeling software gain a foothold in solid-dosage manufacturing process design. ALENGO/GETTY IMAGES; DAN WARDUsing model-predictive design to define, predict, and control a process is ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

Here, we present new biophysical models of gene expression that enable engineers to rationally design and optimize genetic systems with desired functionalities, using statistical thermodynamics, ...

The basic model predictive control technique incorporates normalized step response models for the controlled variables as a function of the manipulated variables (MVs) and feedforward variables (FVs).

Economic Model Predictive Control (EMPC) represents an evolution of traditional control strategies, where the primary objective is to directly optimise an economic cost function rather than merely ...

This article presents the development of coordinated control of throttle, spark advance, and variable valve timing (VVT) in a model predictive control (MPC) framework for engine idle speed control ...

A mathematical model describing mass-transfer rates for organic pollutants in fluid-bed adsorbers can be used to predict concentration-time profiles for systems in which flow rate, particle size of ...

The scope of the CRP is to advance predictive tools (such as correlations, system and sub-channel codes) and models supported by computational fluid dynamics tools, based on improved knowledge and ...