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7 ways model predictive control benefits your food and beverage operation?

Control Engineering

Model predictive control insights Model predictive control (MPC) is an optimal control technique in which the calculated control actions minimize a cost function for a constrained dynamical system over a finite, receding horizon. Consider the 7 steps to MPC implementation in your food and beverage application.

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Why Use HMI/SCADA, Six Examples

Gary Mintchell

With a vision to emotionally connect an audience to a cast of prehistoric beasts, we used never‐before‐seen technology to set a new benchmark in storytelling through animatronics. Grantek automates pharmaceutical and food & beverage manufacturing operations, including integration with business systems for seamless solutions.

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Turnkey approach for automating first-of-a-kind red sorghum extract process

Control Engineering

System integration insights When kicking off a project with a key process control scope, the state of the art of the process technology should be as well known by the team as possible. Until then, the entire process had only been validated on a pilot or laboratory scale.

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More sensors, despite strained supply chain

Control Engineering

Courtesy: Endress+Hauser Sustainability, environment, leadership planning With 76 out of 100 points, Endress+Hauser again occupied a leading position in the 2022 EcoVadis sustainability benchmark and placed in the top percentile of the comparison group. Endress+Hauser has a very good business there and expects the country to open up for more.