This preliminary program is subject to change.

Modeling and Identification


Description:
The focus of this session is on theoretical and experimental results in the area of process modeling and identification. Topics of interest include novel identification algorithms, design of control-relevant input signals, identification and validation under conditions of inadequate and/or incomplete data, model uncertainty quantification, identification of nonlinear systems, and modeling of specific processes. Process modeling and identification techniques applied to nontraditional processes and systems are of particular interest.

Sponsor:
Systems and Process Control


Chair:
Richard D. Braatz
Professor
Massachusetts Institute of Technology
Department of Chemical Engineering
77 Massachusetts Avenue
Cambridge, MA 02139
Phone Number: 617-253-8410
Fax Number: 617-258-0546
Email: braatz@mit.edu

Co-Chair:
Daniel E. Rivera
Professor
Arizona State University
School of Mechanical, Aerospace, Chemical and Materials Engineering
Mail Stop 876106
Tempe, AZ 85287-6106
Phone Number: 480 965-9476
Fax Number: 480 727-9321
Email: daniel.rivera@asu.edu


Papers:
A Novel Constrained Total Least Squares Formulation for the Identification of Gene Networks From Highly Noisy and Correlated Measurements
Ugur Guner, Georgia Institute of Technology; Dr Matthew Realff, Georgia Institute of Technology; Jay H. Lee, Georgia Institute of Technology
Design of Constrained Experiments for Identification of Multivariable Fir Models
Mark Darby, CMiD Solutions; Michael Nikolaou, University of Houston
Optimal Experimental Designs Robust to Implementation Errors
Spencer D. Schaber, Massachusetts Institute of Technology; Paul I. Barton, Massachusetts Institute of Technology
Identification for Control of Batch Processes Using Latent Variable Models
Masoud Golshan, McMaster University; John MacGregor, Dept. of Chemical Engineering, McMaster University
Optimal Parameter Estimation of Stochastic Izhikevich Single Neuron Model Using Experimental Inter-Spike Interval Data
Gautam Kumar, Lehigh University; Vikram Aggarwal, Johns Hopkins University; Nitish V. Thakor, Johns Hopkins University; Marc H. Schieber, University of Rochester Medical Center; Mayuresh V. Kothare, Lehigh University
Simplified Dynamic Model of a Solar Thermal Reactor for Biomass Gasification
Elizabeth Saade, University of Colorado; David E. Clough, University of Colorado; Alan Weimer, University of Colorado
Dynamical Model Reduction Using the Green's Function Matrix
Thanneer Malai Perumal, National University of Singapore; Sai Sandeep Tallam, National University of Singapore; Rudiyanto Gunawan, National University of Singapore
See more of this Group/Topical: Computing and Systems Technology Division