2019 AIChE Annual Meeting

Session: Modeling, Control, and Optimization of Manufacturing Systems

This session includes papers related to modeling, control, and optimization of manufacturing systems. Industrial contributions are highly encouraged. Abstracts containing use of big data for manufacturing systems control are highly desirable.

Chair

Joel Paulson, University of California - Berkeley

Co-Chair

Yankai Cao, University of British Columbia

Presentations

03:30 PM

(29a) Robust Artificial Neural Networks for Nonlinear Model Predictive Control of Multiscale Stochastic Systems
Grigoriy Kimaev, Luis A. Ricardez-Sandoval

03:49 PM

(29b) Self-Optimizing Control of a Continuous Pharmaceutical Manufacturing Plant
David P. Piñeiro, Anastasia Nikolakopoulou, Johannes Jäschke, Truls Gundersen, Richard D. Braatz

04:08 PM

(29c) Integration of Design, Scheduling, and Control of Batch Processes By Model Based Multiparametric Programming
Baris Burnak, Efstratios Pistikopoulos

04:27 PM

(29d) A Systematic Model-Based Approach for the Design and Control of Protein Crystallization
Richard D. Braatz, Moo Sun Hong, Amos E. Lu

04:46 PM

(29e) Real-Time Coordinating of Multiple Conveyor-Belts and Multi-Quality Stockpiles for Tripper Car Positioning in the Mining Field
Brenno C. Menezes, Jeffrey D. Kelly

05:05 PM

(29f) Multi-Model Based Model Predictive Control of a Rotational Molding Process
Abhinav Garg, Hassan Abdulhussain, Prashant Mhaskar, Michael R. Thompson

05:24 PM

(29g) Multiscale Modeling and Control of Cell Wall Thickness in Batch Pulp Digester
Hyun-Kyu Choi, Joseph Kwon

05:43 PM

(29h) Modeling and Uncertainty Analysis of Microbial Electrosynthesis of Acetate for Martian Colonization
George Makrygiorgos, Anthony Abel, Aaron J. Berliner, Adam P. Arkin, Douglas S. Clark, Ali Mesbah