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 ...

The automotive industry continues to be a hotbed of innovation, with activity driven by demand for artificial intelligence (AI) technology, as well as the growing importance of technologies such as ...

Inverse optimal control (IOC) is an advanced methodological framework that seeks to deduce the underlying cost or reward functions based solely on the observation of optimal behaviour. Traditionally, ...

Servo controllers commonly use traditional cascaded configurations in which a velocity loop is nested within a position loop. This configuration originated when current and velocity controllers were ...

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 ...