Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

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 ...

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 ...

The discussion features insights from Bruce Slusser of system integrator Avanceon, highlighting practical applications and benefits of AI-enhanced MPC in industrial settings.

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 ...

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." ...