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

Model predictive control (MPC) is a well-established technology for multivariable processes that was originally developed in the 1970s with the introduction of digital computer-based control systems.

The technique—model predictive control (MPC)—is a forward-thinking, prediction-based approach, says Alois Jungbauer, professor at the Austrian Center of Industrial Biotechnology in Vienna, and ...

Technical Terms Model Predictive Control (MPC): A control strategy that uses a model of the process to predict and optimise future system behaviour over a defined time horizon.

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 ...

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 ...

Previous studies show that the indoor environment quality (IEQ) of buildings directly affects human health and comfort. This study aims to predict the change of indoor parameters at the next moment ...

Illustrating her point is the model predictive control (MPC) that EnWin Utilities Ltd. implemented to mitigate pressure spikes in the water distribution system in Windsor, Ontario.

The most common automated multivariable control technology in use today is model-predictive control (MPC). Prominent characteristics of MPC include the use of detailed process models, embedded ...