Robust estimation of parameters in nonlinear ordinary differential equation models

Abstract

Ordinary differential equation (ODE) models are widely used to model dynamic processes in many scientific fields. Parameter estimation is usually a challenging problem, especially in nonlinear ODE models. The most popular method, nonlinear least square estimation, is shown to be strongly sensitive to outliers. In this paper, robust estimation of parameters… (More)
DOI: 10.1007/s11424-015-4045-9

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Cite this paper

@article{Qiu2016RobustEO, title={Robust estimation of parameters in nonlinear ordinary differential equation models}, author={Yanping Qiu and Tao Hu and Baosheng Liang and Hengjian Cui}, journal={J. Systems Science & Complexity}, year={2016}, volume={29}, pages={41-60} }