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 ...

Many tools are available for PAT. This article focuses on the knowledge discovery available from the creation and operation of a virtual plant environment. Such an environment can involve the ...

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 ...

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 ...

The main controlled variables (CVs) are feed rate, external heat input, pump-around flows, external cooling, and pressure control. Model predictive control (MPC) is a well-established technology for ...

Model predictive control is not just a contemporary solution but a future-ready approach that promises to revolutionize biopharmaceutical manufacturing.

By Andrew Masuda, UCSB UC Santa Barbara professor James B. Rawlingshas been named the 2025 recipient of the Richard E. Bellman Control Heritage Award, the nation’s top recognition for career ...

Can predictive modelling and model predictive controls (MPC) be used in train scheduling? Phil Thane reports.