3 papers
eess.SY2025
Explainable LP-MPC: Shadow Price Contributions Reveal MV-CV Pairings
Lim C. Siang, Daniel L. O'Connor
In the process industries, MPC (Model Predictive Control) is typically implemented as a two-stage controller with a Linear Program (LP) steady-state optimizer that generates econom…
eess.SY2022
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics
Lim C. Siang, Shams Elnawawi, Lee D. Rippon +2
A significant portion of the effort involved in advanced process control, process analytics, and machine learning involves acquiring and preparing data. Literature often emphasizes…
eess.SY2022
A Simple Discretization Scheme for Gain Matrix Conditioning
Daniel L. O'Connor, Lim C. Siang, Shams Elnawawi
In industrial model predictive controllers (MPCs), models generated from regression-based system identification methods typically contain small or even physically non-existent degr…