757 Process Modeling and Identification II

Description:
The session will consist of contributions on data driven and first-principles approaches to process modeling and identification.

Sponsor:
Systems and Process Control

Chair:
S. Joe Qin
Email: sqin@usc.edu

Co-Chair:
Q. Peter He
Email: qhe@mytu.tuskegee.edu


Papers:
File available
3:15 PM
(757a) Development of a Model-Based Noninvasive Glucose Monitoring Device for Non-Insulin Dependent People
Derrick K. Rollins Sr., Lucas Beverlin, Yong Mei, Kaylee Kotz, Dave Andre, Nisarg Vyas, Gerg Welk and Warren D. Franke

3:35 PM
(757b) Multi-Scale Identification
Heinz A. Preisig

3:55 PM
(757c) Robust M-Estimators for On-Line State Estimation of Dynamic Systems With Gross Measurement Errors
Bethany Nicholson, Rodrigo Lopez-Negrete and Lorenz T. Biegler

4:15 PM
(757d) Covariance Estimation of a Laboratory Emulsion Polymerization System: Comparison Between ALS and Direct Optimization Methods
Franklin D. Rincon, Marcelo Esposito, Fernando V. Lima and Galo A. C. Le Roux

4:35 PM
(757e) Model Predictive Quality Control of Polymethyl Methacrylate
Brandon Corbett, Brian Macdonald and Prashant Mhaskar
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