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 proposed controller for ballbot devices enhances the adaptability to dynamic environments via self-learning and self-adjusting characteristics. Ballbot is a unique kind of robot with great ...

Plug-and-play controller platform provides adaptive energy management, simplifies scalability, enables tailored configurations, and supports rapid, low-disruption upgrades. The controller is designed ...

Industrial process control has traditionally relied on fixed-parameter controllers such as proportional integral derivative (PID) and model-based approaches like model predictive control (MPC). While ...