Top 5 Control Engineering articles January 31 to February 6, 2022
Articles about VFDs, artificial neural networks, machine learning, edge control and smart face masks were Control Engineering’s five most-viewed articles from January 31 to February 6, 2022. Miss something? You can catch up here.
The top 5 most read articles online, from January 31 to February 6, 2022, for Control Engineering covered VFDs, artificial neural networks, machine learning, edge control and smart face masks. Links to each article below.
Variable frequency drive (VFD) vocabulary words: These 50 terms can help properly apply VFDs.
2. Introduction to artificial neural networks in control applications
Practical applications of artificial neural networks (ANNs) for control systems, especially for non-linear systems, include simulating time-optimal controllers and for ANN-based controlled system (plant) models. Such models, combined with classical proportional-integral-derivative (PID) controllers, can enable adaptive and other, more sophisticated, control systems.
3. Seven tips for implementing machine learning in controls environments
Machine learning (ML) applications are evolutionary by nature, so it is important to understand how they work and keep looking for new ways to apply them to deliver an automation advantage.
The future of industrial automation lies with true edge controllers, which combine programmable logic controller/programmable automation controller (PLC/PAC) functionality with general-purpose computing to deliver responsive edge analytics and real-time reaction to insights. See edge controller vs. PLCs, PACs, IPCs: 3 advantages.
5. Turning face masks into smart monitoring devices
Northwestern Engineering researchers have developed a new smart sensor called FaceBit, which is a quarter-sized sensor that uses a tiny magnet to attach to any N95, cloth or surgical face mask.
The list was developed using CFE Media’s web analytics for stories viewed on controleng.com, Jan. 31 to Feb. 6, 2022, for articles published within the last two months.
Chris Vavra, web content manager, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com.
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