Suggestions(5)
Exact(52)
Figure 7 Estimate errors for four filters.
Moreover, the estimate errors of the critic neural network weights are asymptotically stable.
It is based on a recursive computation of the state estimate errors.
The correction matrix Δ p → is a collection of estimate errors for the mobile user position.
Achievable rate expressions are obtained by considering the estimate errors as additional sources of Gaussian noise.
It is essential to estimate errors due to lack of data.
Similar(8)
Sufficient conditions are given to prove estimate error stability.
However, as the frame size decreases, its estimate error increases.
and denote the parameter estimate error as (11).
A close loop flux observer, based on the current estimate error, is then constructed.
The evaluation is derived based on the sum of the square of the estimate error.
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