I. Introduction
The accurate description of dynamical systems can result in high-fidelity models of prohibitively large dimensions. This is the case, for example, in models resulting from the spatial discretization of partial differential equations over a fine grid. Simulations and optimizations based on these large models are computationally expensive, if at all feasible. To resolve this issue, model reduction techniques that generate good approximated models in a numerically efficient manner are required.