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 ...

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 ...

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 ...

A DC-DC Converter with fixed compensation parameters cannot perform well if load dynamics vary widely. A better approach is adaptive control, which can handle a broad range of parameter variations ...

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 ...

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.

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 ...