Top 5 Control Engineering articles March 25-31
Articles about Big Data analysis, edge computing best practices, the Engineers' Choice Awards, industrial mobile robot standards, and rate-predictive control were Control Engineering’s five most clicked articles from March 25-31. Miss something? You can catch up here.
The top 5 most read articles online, from Mar. 25-31 for Control Engineering covered Big Data analysis, edge computing best practices, the Engineers’ Choice Awards, industrial mobile robot standards, and rate-predictive control. Links to each article below.
Centralized data architectures are adapting to new opportunities for data collection and analytics.
When choosing, installing, and using an edge computing device for a manufacturing or process facility application, these 10 best practices can help.
Spotlight on innovation: Best automation, control, and instrumentation products in 26 categories.
Industrial mobile robots (IMRs) have a lot of potential for manufacturers looking to enhance productivity, but standards are needed.
Advanced control: A new non-PID control algorithm, rate-predictive control (RPC), is adaptive to changes in process gain, which is helpful given the industry’s difficult history of loop tuning, auto-tuning, and model maintenance. RPC also can serve as a model-less feedback multivariable control algorithm.
The list was developed using CFE Media’s web analytics for stories viewed on controleng.com, Mar. 25-31, for articles published within the last two months.
Chris Vavra, production editor, CFE Media, firstname.lastname@example.org.