Dew Computing in Industrial Automation: Applying Machine Learning for Process Control

Author(s):  
Mladen Sverko ◽  
Nikola Tankovic ◽  
Darko Etinger
2021 ◽  
Author(s):  
Min-Hsuan Hsu ◽  
Chih-Chen Lin ◽  
Hsiang-Meng Yu ◽  
Kuang-Wei Chen ◽  
Tuung Luoh ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Abolhassan Razminia ◽  
Dumitru Baleanu

This paper addresses a new approach for modeling of versatile controllers in industrial automation and process control systems such as pneumatic controllers. Some fractional order dynamical models are developed for pressure and pneumatic systems with bellows-nozzle-flapper configuration. In the light of fractional calculus, a fractional order derivative-derivative (FrDD) controller and integral-derivative (FrID) are remodeled. Numerical simulations illustrate the application of the obtained theoretical results in simple examples.


Procedia CIRP ◽  
2021 ◽  
Vol 104 ◽  
pp. 1813-1818
Author(s):  
David Miller ◽  
Boyang Song ◽  
Michael Farnsworth ◽  
Divya Tiwari ◽  
Felicity Freeman ◽  
...  

2020 ◽  
Vol 37 ◽  
pp. 101389
Author(s):  
Kathryn B. Newhart ◽  
Christopher A. Marks ◽  
Tanja Rauch-Williams ◽  
Tzahi Y. Cath ◽  
Amanda S. Hering

1985 ◽  
Vol 18 (1) ◽  
pp. 203-216
Author(s):  
M. Di Manzo ◽  
G. Menga ◽  
G. Neri ◽  
S. Rivoira ◽  
A. Serra ◽  
...  

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