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 ...

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.

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 ...

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 ...