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Cloud-based control of industrial cyber-physical systems
Peter Papcun
*
, Erik Kajati
,
Chao Liu
, Ray Y. Zhong
, Jiri Koziorek
, Iveta Zolotova
*
Corresponding author for this work
Mechanical, Biomedical & Design Engineering
Technical University of Košice
University of Auckland
Technical University of Ostrava
Research output
:
Contribution to journal
›
Conference article
›
peer-review
6
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Citations (Scopus)
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Keyphrases
Latency
100%
Frequency Converter
100%
Windows Communication Foundation
100%
Azure IoT Hub
100%
Cloud-based Control
100%
Industrial Cyber-physical Systems
100%
Production System
50%
Motivation
50%
Control Algorithm
50%
Inclined Surface
50%
Computing Power
50%
Prediction Algorithms
50%
Level System
50%
Machine Learning Algorithms
50%
Production Industry
50%
Laboratory Model
50%
Sampling Period
50%
Cloud System
50%
Microsoft Azure
50%
Cloud Implementation
50%
Cloud-based Control System
50%
Asynchronous Motor
50%
Local Control Unit
50%
Programmable Logic Controller
50%
Engineering
Frequency Converter
100%
Internet-Of-Things
100%
Cyber-Physical Systems
100%
Production System
50%
Experimental Result
50%
Control System
50%
Control Algorithm
50%
Computing Power
50%
Inclined Surface
50%
Machine Learning Algorithm
50%
Sampling Period
50%
Local Control Unit
50%
Programmable logic controllers
50%
Computer Science
Internet-Of-Things
100%
Cyber Physical Systems
100%
Production System
50%
Experimental Result
50%
Control Algorithm
50%
Machine Learning Algorithm
50%
cloud system
50%
Microsoft Azure
50%
Control Unit
50%
Sampling Period
50%
Cloud Implementation
50%
Programmable Logic Controller
50%
Computing Power
50%
Earth and Planetary Sciences
Frequency Converter
100%
Control System
50%
Machine Learning
50%
Production System
50%
Asynchronous Motor
50%
Chemical Engineering
Frequency Converter
100%
Learning System
50%