Session: Process Modeling and Identification (2012 Annual Meeting)

Description:

Papers in the broad area of modeling, estimation and identification are solicited for this session.

Sponsor:

Systems and Process Control

Chair:

Stevan Dubljevic
University of Alberta
Chemical and Materials Engineering
9107-116 Street
Edmonton, AB T6G 2V4
Email: stevan.dubljevic@ualberta.ca

Papers:

Introductory Remarks

238a

The Autocovariance Least-Squares Method for Batch Processes: Application to Experimental Chemical Systems
Franklin D. Rincon, Chemical Engineering Department, Polytechnic School of the University of São Paulo; Marcelo Esposito, Universidade Federal de Santa Catarina; Pedro H. H. Araújo, Universidade Federal de Santa Catarina; Claudia Sayer, Universidade Federal de Santa Catarina; Fernando V. Lima, University of Minnesota; Galo A. C. Le Roux, Polytechnic School of the University of São Paulo

238b

Model Predictive Quality Control of Batch Processes
Siam Aumi, McMaster University; Brandon Corbett, McMaster University; Prashant Mhaskar, McMaster University

238c

Dynamic Data Reconciliation Using Conventional Dynamic Simulation Software for LNG Terminal
Sangho Lee, Seoul National University; Chonghun Han, Seoul National Univ.

238d

Comparison of Model Approximation Methodologies for Online and Multi-Parametric/Explicit Model Predictive Control
Romain Lambert, Imperial College; Pedro Rivotti, Imperial College; Alexandra Krieger, Imperial College London; Efstratios N. Pistikopoulos, Imperial College London

238e

A Semi-Physical Valve Stiction Model and Its Application for Stiction Quantification
Q. Peter He, Tuskegee University; Jin Wang, Auburn University

238f

Sequential Monte Carlo Moving Horizon Estimation
Sridhar Ungarala, Cleveland State University

Concluding Remarks

See more of this Group/Topical: Computing and Systems Technology Division

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