As such, a very active area of research is the development of algorithms and implementation strategies that reduce the computational cost required by the MPC. Due to its formulation, Model Predictive ...

The main controlled variables (CVs) are feed rate, external heat input, pump-around flows, external cooling, and pressure control. Model predictive ... MPC contains algorithms that allow limited, ...

A recent study published in Engineering introduces a groundbreaking method for building energy management that integrates ...

Scientists from Cornell University combined quantum computing with model predictive control to manage the energy of two PV-equipped university buildings. Compared to deterministic approaches, the ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

A new study in Engineering presents an adaptive quantum computing-based model predictive control strategy for building energy ...

Researchers from Austria’s University of Natural Resources and Life Sciences Vienna have presented a novel, low-tech model predictive control (MPC) algorithm for the grid-friendly operation of ...

Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...