
doi: 10.1108/eb005599
Many bio‐medical models leads to differential systems. Some coefficients (exchange parameters,…) must be identified from partial observation on the system's solution. We suggest methods to study the existence and unicity of the identification problem. Applications to numerical identification are also given, in particular when unicity is not ensured. Physiological systems, like respiratory system, are concerned with the identification of parameters.
Estimation and detection in stochastic control theory, Identification in stochastic control theory, biomedical systems, non-linear models, identification of unknown parameters, compartmental models, Medical applications (general), Linear systems in control theory, incomplete observations, Nonlinear systems in control theory, parameter estimation
Estimation and detection in stochastic control theory, Identification in stochastic control theory, biomedical systems, non-linear models, identification of unknown parameters, compartmental models, Medical applications (general), Linear systems in control theory, incomplete observations, Nonlinear systems in control theory, parameter estimation
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