Preliminary Program subject to change
10B11 Process Modeling and Identification I
OverviewThis session focuses on theoretical and application results in the area of process modeling and identification. Topics of interest include, but are not limited to: data-driven and theoretical modeling, novel identification algorithms, identification and validation under conditions of inadequate and/or incomplete data, and identification ofnonlinear systems. Applications in nontraditional processes and systems are of particular interest.
Primary SponsorSystems and Process Control (10b)

Chair

Derrick Rollins
Iowa State University
Department of Chemical Engineering
2114 Sweeney Hall
Ames, IA 50011-2230
Phone Number: 515-294-5516
Fax Number: 515-294-2689
Email: drollins@iastate.edu

CoChair

Manish Misra
Professor in Chemical Engineering
University of South Alabama
Engineering Lab Building EGLB 248
Mobile, AL 36688
Phone Number: (251) 460-7147
Fax Number: (251) 461-1485
Email: manish@usouthal.edu
An Input/Output Approach to Control of Distributed Chemical Reactors
Panagiotis D. Christofides, Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095 and Mingheng Li, Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095
Estimation of Noise Covariances and Disturbance Structure from Data Using Least Squares with Optimal Weighting
Murali R. Rajamani, Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, 2011, Madison, WI 53706 and James B. Rawlings, Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706
Gray-Box Modeling of an Integrated Plant with Incomplete Dynamic Information
Thidarat Tosukhowong and Jay H. Lee, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA 30332-0100
Practical Challenges in Bayesian Modeling and Elicitation of Probabilistic Information
Hongshu Chen, Department of Chemical & Biomolecular Engineering, The Ohio State University, 125A Koffolt Labs 140 W. 19th Ave, Columbus, OH 43210, Bhavik R. Bakshi, Department of Chemical and Biomolecular Engineering, The Ohio State Unversity, Columbus, OH 43210 and Prem K. Goel, Department of Statistics, The Ohio State University, 404 Cockins Hall 1958 Neil Ave., Columbus, OH 43210
An Optimization-Based Approach to Improving the Identifiability of Nonlinear Large-Scale Systems
Harvey Arellano-Garcia1, Richard Faber1 and Guenter Wozny2, (1)Process Dynamics and Operation, Berlin University of Technology, Sekr. KWT-9, Strasse des 17. Juni 135, 10623 Berlin, Germany, (2)Berlin University of Technology, Sekr. KWT-9, Strasse des 17. Juni 135, 10623 Berlin, Germany
A Continuous-Discrete Extended Kalman Filter Algorithm for Prediction-Error-Modelling
John Bagterp Jorgensen1, Morten Rode Kristensen2, Per Grove Thomsen1 and Henrik Madsen1, (1)Informatics and Mathematical Modelling, Technical University of Denmark, Richard Petersens Plads, Building 305 Office 109, Kgs. Lyngby, DK-2800, Denmark, (2)Department of Chemical Engineering, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, DK-2800, Denmark
Accurate Model Identification for Non-Invertible Mimo Sandwich Block-Oriented Processes
Swee-Teng Chin, Chemical and Biological Engineering, Iowa State University, 2114 Sweeney, Ames, IA 50011 and Derrick Rollins, Iowa State University, Chemical and Biological Engineering, 2114 Sweeney Hall, Ames, IA 50011-2230

Computing and Systems Technology Division