  We present an optimization process to estimate parameters in systems of
ordinary differential equations from chaotic time series. The optimization
technique is based on a variational approach, and numerical studies on noisy
time series demonstrate that it is very robust and appropriate to reduce the
complexity of the model. The proposed process also allows to discard the
parameters with scanty influence on the dynamic.
