Parameter estimation for nonlinear dynamic systems with significant uncertainties

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Authors
Dai, Wei
Issue Date
2014-12
Type
Electronic thesis
Thesis
Language
ENG
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Chemical engineering
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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.
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December 2014
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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