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 ...

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

Clone the LiteWing Library repository from GitHub using the following command: ...

Abstract: This article presents a simultaneous automatic synthesis (SAS) of robust controller and the pre-filter, 2-degree of freedom (DOF), involved in the quantitative feedback theory (QFT) approach ...

A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...

Abstract: Precise pressure control is vital in chemical processes involving pneumatic systems, where stability and responsiveness directly impact product quality and safety. This study presented the ...

ZAT and I&C Energo will modernise control systems at the Dukovany Nuclear Power Plant as part of a long-term plant upgrade ...

Named "NGC2," the Army's attempt to build a new command and control system lacks the flag-waving appeal of the "Phased Array ...

Virtual PLCs run control logic in software instead of hardware. Here's what that means for your manufacturing operation.

Propelled announces its largest expansion of ESC motor controllers and Intelligent Power Systems, supporting drones and ...

For decades, light water reactors have used control rods to regulate the fission reaction that powers a nuclear plant. The rods move vertically in and out of the core and are made of mat. . .