Routh--type L2 model reduction revisited

A computationally simple method for generating reduced{order models that minimise the L2 norm of the approximation error while preserving a number of second-order information indices as well as the steady-state value of the step response, is presented. The method exploits the energy-conservation property peculiar to the Routh reduction method and the interpolation property of the L2-optimal approximation. Two examples taken from the relevant literature show that the suggested techniques may lead to approximations that are not worse than those aorded by popular more cumbersome techniques.