Control Freaks has continued to experience substantial growth across the food, process, leisure and metal processing ...
Artificial intelligence (AI) systems and agents aren’t poised to take over factory operations any time soon, but they’re already influencing every step pf the manufacturing process. “Every level of ...
Objective To compare the duration of mechanical ventilation between preterm infants receiving closed-loop automated oxygen control (CLAC) or manual oxygen control. Design Randomised controlled trial.
The automated process control system for unit 1 has been delivered to the construction site of the Akkuyu nuclear power plant in Turkey. The system monitors and controls all key reactor parameters, as ...
In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative techniques for ...
Skylar will parse air traffic control communications and suggest a response that the pilot can send with a finger swipe. Credit: Skyryse Simplified flight control specialist Skyryse has launched an ...
Process manufacturing is extremely complex. Operating in a manner that ensures safety, reliability, efficiency and sustainability requires precise orchestration of equipment, people and data to ensure ...
Solving chance-constrained stochastic optimal control problems is a significant challenge in control. This is because no analytical solutions exist for up to a handful of special cases. A common and ...
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