Modern parallel computer architectures are capable of processing huge amounts of data at high speed. This allows for the increasing use of imaging techniques as sensors to control machines and process ...

Why engineers look to incorporate adaptive and self-tuning approaches into system design. What is reinforcement learning and how does it work? Some approaches for successfully integrating RL into ...

The convergence of operational technology (OT) and information technology (IT) offers a unified view of industrial automation control systems and streamlines communication among personnel and the ...

At the core of any modern industrial process is a control system guaranteeing precision, stability, and efficiency. Perhaps the most commonly used are PID (Proportional-Integral-Derivative) ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

Human failures and limitations were no doubt a motivating factor for developing automated control systems. Control systems can act reliably, fast and effectively 24/7. Pneumatic and hydraulic ...

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model performs. The business case stacks up on paper. Then production arrives, and ...