Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey

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 proble...

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Bibliographic Details
Main Authors: Gopaluni, R. Bhushan, Tulsyan, Aditya, Chachuat, Benoit, Huang, Biao, Lee, Jong Min, Amjad, Faraz, Damarla, Seshu Kumar, Kim, Jong Woo, Lawrence, Nathan P.
Format: Conference Proceeding
Language:English
Subjects:
control
deep learning
monitoring
reinforcement learning
statistical machine learning
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Summary: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.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2020.12.126