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Update doc/optimal.rst
Co-authored-by: Sawyer Fuller <58706249+sawyerbfuller@users.noreply.github.com>
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doc/optimal.rst

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@@ -129,7 +129,7 @@ The result of this optimization gives us the estimated state for the
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previous :math:`N` steps in time, including the "current" time
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:math:`x[N]`. The basic idea is thus to compute the state estimate that is
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most consistent with our model and penalize the noise and disturbances
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according to how likely the are (based on a some sort of stochastic system
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according to how likely the are (based on the given stochastic system
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model for each).
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Given a solution to this fixed-horizon optimal estimation problem, we can

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