  We present an adaptation of two recent low-rank approximation technique
proposed for first-order model reduction systems to the second-order systems.
The resulting reduced order models are guaranteed to keep the second order
structure which has a physical meaning. The quality of the approximation is
shown using numerical simulations on benchmark examples.
