Abstract: Model predictive control (MPC) for tracking is a recently introduced approach, which extends standard MPC formulations by incorporating an artificial reference as an additional optimization ...

Abstract: In this article, we propose an economic nonlinear model predictive control (MPC) algorithm for district heating networks (DHNs). The proposed method features prosumers, multiple producers, ...

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...

It’s not very common that a robot the size of a paper clip is able to do ten flips in eleven seconds and keep on course ...

HVAC ductwork close-up illustrating building system integration. Source: Sigmund/Unsplash Model predictive control (MPC) uses a model of a system to forecast its behavior, solve an optimization ...

Large buildings, such as the Royal College of Music in London, U.K., can benefit by pairing HVAC wit MPC technology. Source: Krisztina Anna Berecz/Unsplash Large commercial and institutional buildings ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...