Thursday, 3 November 2005: 12:30 PM-3:00 PM
212 (Cincinnati Convention Center)

Systems and Process Control (10b)

#520 - Process Modeling and Identification (10B05)
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, design of input signals, identification and validation under conditions of inadequate and/or incomplete data, and identification of nonlinear systems. Applications in nontraditional processes and systems are of particular interest.
CoChair:Prodromos Daoutidis
Chair:S. Joe Qin
12:30 PMSimpca with Modified Instrumental Variable to Improve Estimation Accuracy
Jin Wang, S. Joe Qin
12:50 PMAn Integrated Methodology for Plant-Friendly Input Signal Design and Control-Relevant Estimation of Highly Interactive Processes
Hyunjin Lee, Daniel E. Rivera
1:10 PMBayesian Latent Variable Regression of High Dimensional Data with Applications to Process Identification
Hongshu Chen, Bhavik R. Bakshi, Prem K. Goel
1:30 PMModel Maintenance for Industrial Process Control
Jinendra K. Gugaliya, Sachin C. Patwardhan, Ravindra D. Gudi, Harigopal Raghavan, Ramprasad Yelchuru
1:50 PMGeneric Procedure for Data-Driven Predictive Modelling for Control - Exemplified on a Cement Kiln
Bao Lin, Bodil Recke, Torsten Vagn Jensen, Jørgen Knudsen, Sten Bay Jørgensen
2:10 PMOptimal Input Design for Identification of Nonlinear Systems
Sridharakumar Narasimhan, Raghunathan Rengaswamy
2:30 PMBlind Identification for the Detection and Estimation of Valve Stiction
Clare B. Schoene, S. Joe Qin
Sponsor:Computing and Systems Technology Division

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