Outbreaks of dollar spot can be challenging and costly to control. Traditional fungicide control methods involve calendar-based applications made regardless of disease incidence. Researchers at ...

Due to its formulation, Model Predictive Control is particularly suited for applications that push for elevated performances while having to comply with strict safety requirements .Original artwork by ...

“Challenging problems, like enabling predictive maintenance or dynamic control, are better addressed with machine learning than classical control.” Illustrating her point is the model predictive ...

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 ...

Researchers at Durham University have developed a new system that enables drones to fly in precisely coordinated swarm ...

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 ...

As industries evolve towards higher levels of automation and digital intelligence, maintenance strategies are undergoing a ...

Xinyin Xu, Baochuan Fu, Zhengtian Wu, Guang Sun, Predictive control for indoor environment based on thermal adaptation, Science Progress (1933-), Vol. 104, No. 2 (2021), pp. 1-25 ...

The Rockwell Automation Pavilion8 Model Predictive Control application helps manufacturers achieve precision in a dynamic market, reducing product variability, while increasing yield and lowering ...

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 ...