748 Modeling, Estimation, and Identification


Description:
This session will highlight data driven and first-principles approaches to process modeling and identification.

Sponsor:
Systems and Process Control


Chair:
Daniel Chen
Lamar University
Dan F. Smith Department of Chemical Engineering
Beaumont, TX
77710
Email: daniel.chen@lamar.edu

Co-Chair:
Kirti Yenkie
Assistant Professor
Rowan University
chemical engineering
Glassboro, NJ
Phone Number: 856-256-5375
Email: yenkie@rowan.edu


Papers:
Estimating Parameters and Model Uncertainty in Fundamental Dynamic Models Using Historical Data
Kimberley B. McAuley, Queen's University; Hadiseh Karimi, Queen's University
Investigation of CO2 Sorption Mechanisms in Isothermal Columns Via Transient Material and Energy Flow PDE Models
Manda Yang, The Pennsylvania State University; Linxi Wang, Pennsylvania State University; Seyed Mehdi Kamali Shahri, Pennsylvania State University; Robert M. Rioux, The Pennsylvania State University; Antonios Armaou, The Pennsylvania State University
Output Feedback Regulation Via Carleman Based Receding Horizon Estimation and Control
Yizhou Fang, The Pennsylvania State University; Antonios Armaou, The Pennsylvania State University
Adaptive Control of System with Unknown Inputs with Application to Chemical Reaction Control
B. Erik Ydstie, Carnegie Mellon University; Zixi Zhao, Carnegie Mellon University
Optimization of Heterogeneous Batch Reactor Under Parameter Uncertainty
Yajun Wang, Carnegie Mellon University; Mukund Patel, DowDuPont Inc.; John M. Wassick, DowDuPoint Inc.; Lorenz T. Biegler, Carnegie Mellon University
Estimating the Drainage Area of "Frac-HIT" or Refractured Horizontal Well
Nitish Goyal, University of Houston; Matteo Marongiu-Porcu, Schlumberger; Michael Nikolaou, University of Houston
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division