Sentence examples for worst case estimation from inspiring English sources

The approach features the properties of a building kit: any overall uncertainty turns out to be the sum of a contribution due to random errors, to be taken from a confidence interval as put down by Student, and a contribution due to unknown systematic errors, as expressed by an appropriate worst case estimation.

It is also shown that the designed estimators are optimal, in the sense that they give minimal worst-case estimation error, on the basis of the available finite number of noise-corrupted data, with respect to an ideal MHE filter (obtained by assuming exact knowledge of the system dynamics and of the global solution of the related nonlinear program).

These findings were robust to sensitivity analysis, including best-case and worst-case estimation.

In the case of full observability, an almost optimal filter is derived, where optimality refers to minimizing a worst-case estimation error.

A method is proposed for designing almost-optimal linear filters with finite impulse response, whose worst-case estimation error is at most twice the lowest achievable one.

For unknown linewidths in the range [Γmin, Γmax] the worst-case estimation error is minimized by using settings designed for Γmax.

Our goal is to design a robust finite impulse response (FIR) equalizer which guarantees certain bound on the worst-case estimation error.

In this paper, an approach for the direct design of optimal filters is proposed, where optimality refers to the minimization of a suitable worst-case estimation error.

The algorithms considered include a Kalman filter that minimizes the estimation error variance, an H∞ filter that minimizes the worst-case estimation error, and a robust mixed Kalman/H∞ filter that allows for uncertainties in both the system and measurement matrices.

If the bound is tight enough, it provides a good measure in evaluating the worst-case estimation error).

Therefore, we have calculated worst-case estimations for the device lifetime based on the number of transmissions that the designed process would yield for different configurations.