Three new papers accepted in Control Eng. Pract. and Biofuels Bioprod. Biorefining

Congratulations to DAIS Lab members for their recently accepted papers!

On Reinforcement Learning

Nathan and Daniel’s paper on reinforcement learning for PID tuning, in collaboration with Honeywell, has been accepted in Control Engineering Practice.

• Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning (Lawrence et al.)

On Refining and Process Control

Two additional papers, in collaboration with the Burnaby Refinery, have been accepted in Control Engineering Practice and Biofuels, Bioproducts and Biorefining.

Liang, with the Saddler group (UBC) and collaborators, worked on novel methodologies for FCC coke burn estimation for lipids co-processing:

• Determining the amount of ‘green’ coke generated when co-processing lipids commercially by fluid catalytic cracking (FCC) (Su et al.) - Biofuels, Bioproducts and Biorefining

DAIS Lab alumni members, Shams ‘20 and Siang ‘17, with Dan O’Connor (Control Consulting Inc.), worked on developing tools for visualizing and troubleshooting large-scale industrial model predictive controllers:

• Interactive Visualization for Diagnosis of Industrial Model Predictive Controllers with Steady-State Optimizers (Elnawawi et al.) - Control Engineering Practice