Interpolation theory for structure-preserving model reduction

We develop a general framework for interpolation-based model reduction that includes rational Krylov-based methods as a special case. This new broader framework allows retention of special structure in the reduced order models such as symmetry, second order structure, internal delays, and infinite dimensional subsystems.