Friday, November 17, 2006: 8:30 AM-11:00 AM
Union Square 14 (Hilton San Francisco)
#642 - Process Modeling and Identification I (10B11)
This 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.
Chair:Derrick Rollins
CoChair:Manish Misra
8:30 AMAn Input/Output Approach to Control of Distributed Chemical Reactors
Panagiotis D. Christofides, Mingheng Li, Stevan Dubljevic
8:50 AMEstimation of Noise Covariances and Disturbance Structure from Data Using Least Squares with Optimal Weighting
Murali R. Rajamani, James B. Rawlings
9:10 AMGray-Box Modeling of an Integrated Plant with Incomplete Dynamic Information
Thidarat Tosukhowong, Jay H. Lee
9:30 AMPractical Challenges in Bayesian Modeling and Elicitation of Probabilistic Information
Hongshu Chen, Bhavik R. Bakshi, Prem K. Goel
9:50 AMAn Optimization-Based Approach to Improving the Identifiability of Nonlinear Large-Scale Systems
Harvey Arellano-Garcia, Richard Faber, Guenter Wozny
10:10 AMA Continuous-Discrete Extended Kalman Filter Algorithm for Prediction-Error-Modelling
John Bagterp Jorgensen, Morten Rode Kristensen, Per Grove Thomsen, Henrik Madsen
10:30 AMAccurate Model Identification for Non-Invertible Mimo Sandwich Block-Oriented Processes
Swee-Teng Chin, Derrick Rollins

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