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arXiv Open Access 2022

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

R. Bhushan Gopaluni Aditya Tulsyan Benoit Chachuat Biao Huang Jong Min Lee +4 lainnya
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Abstrak

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.

Topik & Kata Kunci

cs.LG eess.SY

Penulis (9)

R

R. Bhushan Gopaluni

A

Aditya Tulsyan

B

Benoit Chachuat

B

Biao Huang

J

Jong Min Lee

F

Faraz Amjad

S

Seshu Kumar Damarla

J

Jong Woo Kim

N

Nathan P. Lawrence

Format Sitasi

APA MLA BibTeX
Gopaluni, R.B., Tulsyan, A., Chachuat, B., Huang, B., Lee, J.M., Amjad, F. et al. (2022). Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. https://arxiv.org/abs/2209.11123

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Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓