7 resultados para PARAMETER-ESTIMATION

em Bulgarian Digital Mathematics Library at IMI-BAS


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2000 Mathematics Subject Classification: 60J80.

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2000 Mathematics Subject Classification: 62J05, 62J10, 62F35, 62H12, 62P30.

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2010 Mathematics Subject Classification: 94A17.

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Fermentation processes as objects of modelling and high-quality control are characterized with interdependence and time-varying of process variables that lead to non-linear models with a very complex structure. This is why the conventional optimization methods cannot lead to a satisfied solution. As an alternative, genetic algorithms, like the stochastic global optimization method, can be applied to overcome these limitations. The application of genetic algorithms is a precondition for robustness and reaching of a global minimum that makes them eligible and more workable for parameter identification of fermentation models. Different types of genetic algorithms, namely simple, modified and multi-population ones, have been applied and compared for estimation of nonlinear dynamic model parameters of fed-batch cultivation of S. cerevisiae.

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2000 Mathematics Subject Classification: 60J60, 62M99.

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2000 Mathematics Subject Classification: Primary 62F35; Secondary 62P99

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2000 Mathematics Subject Classification: Primary 60G55; secondary 60G25.