More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Historically, the performance and power consumption of a system was controlled by what could be done at design time, but chips today are becoming a lot more adaptive. This has become a necessity for ...

Achieve optimal heating with Cubic's intelligent combustion control for condensing boilers, featuring advanced sensors for ...

Since about 2015, when Don Bartusiak, the then chief engineer at ExxonMobil Research & Engineering, publicly advocated for the development of a new, standards-based, open—yet secure—process control ...

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...