Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

Multi-axis motion system is widely applied in commercial industrial machines such as precision CNC machine tools, Robot manipulator and laser cutting machines, etc. Contour accuracy plays a major role ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...

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 ...

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 ...

EI demands new competencies across power electronics, device physics, real-time optimisation, thermal modelling and embedded ...

The automotive industry continues to be a hotbed of innovation. Activity is driven by the rise of connected and autonomous vehicles, as well as the critical need for dependability and trustworthiness ...

AI-driven adaptive safety stock planning is revolutionizing inventory management in fluctuating supply chains.

Like conventional cruise control, adaptive cruise control maintains a desired speed set by the driver. However, adaptive cruise control (often abbreviated as ACC) makes things more convenient by ...

Neel Somani, a researcher and technologist with a strong foundation in mathematics, computer science, and business from the University of California, ...