Seminar - “Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors” by Hadiseh Karimi, Postdoctoral Fellow, Nova Chemicals Corporation
ABSTRACT: Chemical engineering models may have many reactions, many kinetic parameters, and many mass transfer and thermodynamic constants. Consequently, models that can fully describe a chemical engineering process are usually nonlinear and complex and have many unknown parameters. Additionally, chemical engineering models are not perfect and there are random disturbances from the environment that should be estimated.