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283283
284284Init `estim.x̂` states from current inputs `u`, measured outputs `ym` and disturbances `d`.
285285
286- The method removes the operating points with [`remove_op!`](@ref) and call
287- [`init_estimate!`](@ref):
286+ The method tries to find a good stead-state for the initial esitmate `` \m athbf{x̂}(0)``. It
287+ removes the operating points with [`remove_op!`](@ref) and call [`init_estimate!`](@ref):
288288
289289- If `estim.model` is a [`LinModel`](@ref), it finds the steady-state of the augmented model
290290 using `u` and `d` arguments, and uses the `ym` argument to enforce that ``\m athbf{ŷ^m} =
291291 \m athbf{y^m}``. For control applications, this solution produces a bumpless manual to
292292 automatic transfer. See [`init_estimate!`](@ref) for details.
293293- Else, `estim.x̂` is left unchanged. Use [`setstate!`](@ref) to manually modify it.
294294
295- If applicable, it also sets the error covariance to `estim.P = estim.P̂0 `.
295+ If applicable, it also sets the error covariance `estim.P̂` to `` \m athbf{P̂}(0)` `.
296296
297297# Examples
298298```jldoctest
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