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Identification of biological models described by systems of nonlinear differential equations
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2015
Year
Mathematical ProgrammingNumerical AnalysisEngineeringMathematical BiophysicsArtificial Immune SystemImmunologyImmunological ComputingBiological ModelsNonlinear System IdentificationPde-constrained OptimizationBiological ModelNonlinear ProcessBiophysicsPharmacokinetic ModelingGradient Type MethodsInverse ProblemsBiomedical ModelingSimple Mathematical ModelsNonlinear Differential EquationsNonlinear EquationTuberculosis EpidemicSystems BiologyMedicine
Abstract Four simple mathematical models of pharmacokinetic, competition between immune and tumor cells, infectious disease and tuberculosis epidemic are considered. An optimization approach for identification those models based on gradient type methods is introduced. Inverse problems are formulated in the form of an operator equation and then reduced to the minimization of the corresponding misfit functionals. The adjoint problems are used for the calculation of gradients. A mathematical model of competition between immune and tumor cells is considered numerically. The results of a numerical experiment are demonstrated.