Systems and Process Control

Session 675 - Process Modeling and Identification II
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 of nonlinear systems. Applications in nontraditional processes and systems are of particular interest.
Chair:Derrick Rollins
CoChair:Manish Misra
 Guaranteed Nonlinear Continuous-Time State Estimation
Youdong Lin, Mark A. Stadtherr
 Modelling for Reproducible/Optimizing Operation of Fed-Batch Processes
Nanna Petersen, Dennis Bonné, Sten Bay Jorgensen
 Parameter Identification for Cybernetic Models of Bioprocesses
Mark A. Pinto, Charles D. Immanuel
 Low-Order Linear Dynamic Models for Prediction of Blood Glucose Concentration
Meriyan Eren, Ali Cinar, Lauretta Quinn, Don Smith
 Modular Design of Nonlinear Observers for State and Disturbance Estimation
Costas Kravaris, Georgios Savvoglidis
 An Ontology Based Approach for Managing General Recipes in Batch Processe
Girish Joglekar, Chunhua Zhao, Venkat Venkatasubramanian, Gintaras V. Reklaitis
 A Generalized Profiling Approach to Inference Analysis in System Identification
Allan Soon, Thomas J. Harris, P. James McLellan

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