We consider two approaches to balanced truncation of stochastic linear systems, which follow from different generalizations of the reachability Gramian of deterministic systems. Both preserve mean-square asymptotic stability, but only the second leads to a stochastic H ∞ -type bound for the approximation error of the truncated system.
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Benner et al. (2016) studied this question.
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