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Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
Cited 18 time in
Web of Science
Cited 22 time in Scopus
- Authors
- Issue Date
- 2020-07
- Publisher
- IFAC Secretariat
- Citation
- IFAC-PapersOnLine, Vol.53 No.2, pp.225-236
- Abstract
- Over the last ten years, we have seen a significant increase in industrial data, tremendous improvement in computational power, and major theoretical advances in machine learning. This opens up an opportunity to use modern machine learning tools on large-scale nonlinear monitoring and control problems. This article provides a survey of recent results with applications in the process industry. Copyright (C) 2020 The Authors.
- ISSN
- 2405-8963
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