A Hankel matrix approach to stochastic model reduction

A procedure for stochastic model reduction is Presented utilizing the Hankel matrix results of Adamjan, Arov, and Krein in a way not previously exploited. It is shown thai the error variance of the resulting
N
th-order approximation is bounded from above by the
N + 1
singular value of the system's Hankel matrix.