78 citations · 91 across the 2 of their papers we have counts for
2 papers
eess.SY2024★ 78 cited
Machine learning for industrial sensing and control: A survey and practical perspective
Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim +7
With the rise of deep learning, there has been renewed interest within the process industries to utilize data on large-scale nonlinear sensing and control problems. We identify key…
math.OC2023★ 13 cited
Causality-Informed Data-Driven Predictive Control
Malika Sader, Yibo Wang, Dexian Huang +2
As a useful and efficient alternative to generic model-based control scheme, data-driven predictive control is subject to bias-variance trade-off and is known to not perform desira…