Computational Procedures for Model Identification

Part of the Systems Biology book series (SYSTBIOL)


Mathematical models provide abstract representations of the information gained from experimental observations on the structure and function of a particular biological system. Conferring a predictive character on a given mathematical formulation often relies on determining a number of non-measurable parameters that largely condition the model’s response. These parameters can be usually estimated by fitting the model to experimental data. This chapter covers the parameter identification problem, its formulation and solution, and two closely related topics: identifiability and optimal experimental design.


Parameter estimation Identifiability Optimal experimental design Global optimization 



The authors acknowledge financial support from Spanish MICINN project “MultiSysBio,” ref. DPI2008-06880-C03-02.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.(Bio)Process Engineering GroupIIM-CSIC (Spanish National Research Council)VigoSpain

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