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

Control with model predictive methods By William Poe Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have ...

Model Predictive Control and Tuning Methods Publication Trend The graph below shows the total number of publications each year in Model Predictive Control and Tuning Methods.

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

Chunjiang Bao, Jiwei Feng, Jian Wu, Shifu Liu, Guangfei Xu, Haizhu Xu, Model predictive control of steering torque in shared driving of autonomous vehicles, Science Progress (1933-), Vol. 103, No. 3 ...

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 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 ...

In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a revolutionary advancement. This innovative approach enables motors to operate ...

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 ...