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

Paper manufacturing is a demanding process that relies on consistency, precision, and control at every stage. From the preparation of raw pulp to the continuous operation of bleaching towers and ...

Some of us pay, let’s say, almost a hundred thousand dollars in tuition,” Pinto said. “To be living under these conditions, it’s just not adding up.” ...

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 evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

Abstract: Modular multilevel converters (MMCs) are widely utilized in high-power conversion applications. Typically, a cascaded proportional-integral (PI) control scheme is employed for the regulation ...

“Coercive control” is the term for a diabolical relationship pattern that can have devastating consequences. It occurs when one person unreasonably interferes with another person’s free will and ...

Figure 1: Overview of process analytical technologies (PATs) that can be implemented across a biopharmaceutical manufacturing process; conductiv.= conductivity, MES = manufacturing enterprise system, ...

Honeywell and Danfoss are partnering to integrate variable frequency drive (VFD) technology with Honeywell's Experion Process Knowledge System platform to streamline motor control, reduce energy ...

Abstract: This paper addresses the cooperative control of multiple high-speed trains, accounting for parametric uncertainties, with a particular focus on ensuring a safe train tracking distance. The ...

Some wonder if AI will replace PID control loops. The reality is that, instead of replacing PID, AI is stepping in to help keep things running smoothly without upending regulatory trust. Think of AI ...