Towards cloud-based Control-as-a-Service for modular Process Plants
BACKGROUND: Computational and data-intensive technologies such as model predictive control and artificial intelligence have the potential to increase process yields in the process industry. In modular plant designs, the flexible and difficult-to-predict use of a particular module presents the challe...
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Published in | Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) pp. 1 - 4 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
12.09.2023
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Subjects | |
Online Access | Get full text |
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