Parameter estimation for nonlinear dynamic systems with significant uncertainties

Authors
Dai, Wei
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Other Contributors
Hahn, Juergen
Bequette, B. Wayne
Underhill, Patrick T.
Julius, Anak Agung
Issue Date
2014-12
Keywords
Chemical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
The parameter estimation problem can be formulated as an optimization problem which minimizes the norm of the discrepancy between data and model simulation while constraining the parameters within a reasonable range. A more generalized structure of parameter estimation problem, which is different from the traditional formulation, is given by optimizing certain performance indices rather than minimizing the fitting error, while determining certain parameters of the process. One advantage of defining a generalized structure for parameter estimation problem is that existing approaches for parameter estimation can be used to solve optimization problems of similar structure.
Description
December 2014
School of Engineering
Department
Dept. of Chemical and Biological Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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