78 citations · 78 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.OC2016
Robust MPC via Min-Max Differential Inequalities
Mario E. Villanueva, Rien Quirynen, Moritz Diehl +2
This paper is concerned with tube-based model predictive control (MPC) for both linear and nonlinear, input-affine continuous-time dynamic systems that are affected by time-varying…