An optimal input design using the sensitivity criterion for parametric identification of pharmacokinetic models

• Autorzy: Kalicka R. , Pietrenko-Dąbrowska A.
• Języki publikacji: EN

Abstrakty

EN

The parametric approach to the identification of the SISO state space compartmental models of pharmacokinetic systems is presented. The model structure is formulated basing on the a priori knowledge. The initial parameter estimates are calculated on the base of the output measurements collected during the intuitive experiment. They are used for designing the optimal input, which ensures the best accuracy of the parameter estimates. The sensitivity criterion is adopted and presented in terms of nonlinear programming problem with constraints. Two classes of optimal inputs are considered: equidose and equienergy inputs. The results obtained with optimal and standard inputs are presented and compared.

Słowa kluczowe

EN

compartmental models; parameters estimation; optimal input design

PL

model przedziałowy; estymacja parametru; optymalizacja pobudzenia

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2005
• Tom: Vol. 25, no. 2
• Strony: 3--18
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Kalicka R.

• Faculty of Electronics, Telecomunication and Informatics, Gdańsk University of Technology, Gdańsk, Poland

autor

Pietrenko-Dąbrowska A.

• Faculty of Electronics, Telecomunication and Informatics, Gdańsk University of Technology, Gdańsk, Poland

Bibliografia

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