Top 5 Control Engineering articles April 22-28
Articles about object-oriented industrial programming, AI and machine learning benefits, IIoT benefits for manufacturers, and rate-predictive control were Control Engineering’s five most clicked articles from April 22-28. Miss something? You can catch up here.
The top 5 most read articles online, from April 22-28 for Control Engineering covered object-oriented industrial programming, AI and machine learning benefits, IIoT benefits for manufacturers, and rate-predictive control. Links to each article below.
1. Leverage object-oriented industrial programming
Plants and equipment are assembled from objects, so controls architecture should be too. New tools help industrial programmers deliver the productivity of object-oriented programming (OOP) without the complexity.
2. Benefits of AI and machine learning for automation safety systems
Artificial intelligence (AI) and machine learning can use the information from robots and machines to help improve safety standards by learning what was done in the past and applying it to future situations.
3. IIoT-ready technologies improve machine controls
Industrial Internet of Things (IIoT) technologies have the potential to improve user benefits through diagnostics, prognostics and predictive maintenance.
4. Use context with IIoT to provide automation value
The Industrial Internet of Things (IIoT) has a lot of potential, but without context and a clear goal, value for companies will be less. See 8 ways to move from data to information.
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, April 22-28, for articles published within the last two months.
Chris Vavra, production editor, CFE Media, email@example.com.
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