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.
1. Big Data analysis or data acquisition?
Centralized data architectures are adapting to new opportunities for data collection and analytics.
2. 10 best practices for edge computing
When choosing, installing, and using an edge computing device for a manufacturing or process facility application, these 10 best practices can help.
3. 2019 Engineers’ Choice Awards
Spotlight on innovation: Best automation, control, and instrumentation products in 26 categories.
4. Industrial mobile robot standards being developed
Industrial mobile robots (IMRs) have a lot of potential for manufacturers looking to enhance productivity, but standards are needed.
5. What is rate-predictive control?
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, [email protected].
