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.

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 ...

Model-predictive control is a proven solution that: Responds predictively to dynamic conditions caused by constant load changes.

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 ...

To improve the dynamic response performance of a high-flow electro-hydraulic servo system, scholars have conducted considerable research on the synchronous and time-sharing controls of multiple valves ...

An international research team has tested a hybrid control technique combining adapted perturb and observe (APO) with model-predictive control to address complex partial shading in solar arrays ...

The findings show that a predictive control system powered by a learned “tactile forward model” allows robots to anticipate when an object is likely to slip, continuously analysing its planned ...

But without a proper control system, they could spike a homeowner’s electricity bills. Purdue University researchers have demonstrated a novel predictive control system for heat pumps, which has the ...