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

Kavli Affiliate: Biao Huang

| First 5 Authors: R. Bhushan Gopaluni, Aditya Tulsyan, Benoit Chachuat, Biao Huang, Jong Min Lee

| 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.

| Search Query: ArXiv Query: search_query=au:”Biao Huang”&id_list=&start=0&max_results=10

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