Abstract
It is shown in this note that for SISO systems under l 2 disturbances, when data commute approximately with the shift, the optimal interpolation (over all linear time-varying interpolants) can be approximated by the supremum of the frozen-time Hankel norms. This confirms the intuition that the frozen-time constructed optimal or suboptimal interpolants are in fact nearly optimal when data vary slowly.
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