AI-driven predictive scheduling is helping hospitals match staffing to real patient demand while reducing overtime and ...

Anesthesia control systems have evolved considerably with the integration of advanced artificial intelligence and predictive modelling techniques. Modern approaches combine real-time physiological ...

Manufacturing productivity has historically been the cornerstone of industrial competitiveness, but many Sub-Saharan economies lag behind global peers in efficiency, quality control, and production ...

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

Image of digital twin control, in which real plasma is controlled by virtual plasma reproduced on a computer. In this research, we developed a digital twin control system that can estimate optimal ...

Today’s ac servo systems are much different than those built even 10 years ago. Faster processors and higher resolution encoders are enabling manufacturers to implement amazing advances in tuning ...

Heat pumps are quickly overtaking traditional heating systems in American homes, as they are more efficient and environmentally friendly. But without a proper control system, they could spike a ...

The air conditioner compressor motor driver as shown in Fig.1 utilizes advanced model-free predictive control technology, ensuring efficient and stable operation under varying load conditions.

TreadVision adds AI, robotics and data analysis to the retread process. Smart Predictive Tire gives real-time tire monitoring and predictive alerts.

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...