Abstract: PID controllers are extensively employed in industrial process control. Nevertheless, traditional PID tuning methods often face significant limitations when applied to intricate dynamic ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

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 ...

Abstract: To address the need for ships to accurately track complex submarine cable routes in detection tasks, a Model Reference Adaptive PID (MRAC-PID) control ...