A new look at model reduction by moment matching for linear systems

The model reduction problem by moment matching for linear systems is revisited. The proposed approach provides an alternative to the well-established projection methods. A parameterized family of reduced order models achieving model matching is characterized, together with methods to select an element of the family to enforce specific properties of the reduced order model. The theory is illustrated by means of several worked-out examples.