Concepedia

Integrated deep learning-production planning-economic model predictive control framework for large-scale processes. A fluid catalytic cracker-fractionator case study

Omar Santander, Vidyashankar Kuppuraj, Christopher A. Harrison, Michael Bâldea

Computers & Chemical Engineering · 2022 · 14 citations · 27 references

Concepts

EngineeringChemical EngineeringIndustrial EngineeringProcess ControlProcess Systems EngineeringProduction PlanningDeep LearningIndustrial Catalytic ProcessesModel Predictive ControlProcess EngineeringProduction OptimizationProduction Planning SystemsEconomic Model Predictive ControlFluid Catalytic CrackingLarge-scale ProductionMachine Learning For Production SystemsPredictive Control

References

27

A survey of industrial model predictive control technology

S. Joe Qin, Thomas A. Badgwell · Control Engineering Practice · 2003 · 5K citations

Engineering, Industrial Engineering, Systems Engineering +12

Disturbance models for offset‐free model‐predictive control

Gabriele Pannocchia, James B. Rawlings · AIChE Journal · 2003 · 602 citations

Engineering, Systems Engineering, Process Control +10

Machine learning: Overview of the recent progresses and implications for the process systems engineering field

Jay H. Lee, Joohyun Shin, Matthew J. Realff · Computers & Chemical Engineering · 2017 · 386 citations

Engineering, Chemical Engineering, Systems Engineering +16

Integration of production planning and scheduling: Overview, challenges and opportunities

Christos T. Maravelias, Charles Sung · Computers & Chemical Engineering · 2009 · 376 citations

Management, Industrial Engineering, Operations Management +12

Advances and opportunities in machine learning for process data analytics

S. Joe Qin, Leo H. Chiang · Computers & Chemical Engineering · 2019 · 343 citations

Computing, Computer Science, Data Science +14