Parameter estimation in nonlinear algebraic models via global optimization

The estimation of parameters in semi-empirical nonlinear models through the error-in-variables method has been widely studied from a computational standpoint. This method involves the minimization of a quadratic objective function subject to the model equations being satisfied. Due to the nonlinear...

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Bibliographic Details

Published in:	Computers & chemical engineering Vol. 22; pp. S213 - S220
Main Authors:	Esposito, William R., Floudas, Christodoulos A.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Oxford Elsevier Ltd 01.01.1998 Elsevier
Subjects:	Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences Chemical engineering Exact sciences and technology Operational research and scientific management Operational research. Management science Optimization. Search problems Non linear equation Parameter estimation Branch and bound method Algebraic equation Mathematical model Modeling Optimization
ISSN:	0098-1354, 1873-4375
Online Access:	Get full text
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