Sentence examples for variance state from inspiring English sources

Moreover, it is shown that the Derivative-free nonlinear Kalman Filter is faster than the rest of the nonlinear filters while also succeeding accurate, in terms of variance, state estimates.

The methods tested include nonlinear regressions, neural networks, frequency domain algorithms, GARCH models (which utilize the residual variance), state transition models, and models that combine elements of several techniques.

At the beginning, most of Kalman filters are linear filters, which are the minimum variance state estimation of linear dynamic systems [5].

This paper addresses the optimal unbiased minimum-variance state estimation of descriptor systems in the framework of unknown input filtering.

In this paper, a globally optimal filtering framework is developed for unbiased minimum-variance state estimation for systems with unknown inputs that affect both the system state and the output.

This paper addresses globally optimal unbiased minimum-variance state estimation for systems with unknown inputs that affect both the system and the output with the descriptor Kalman filtering method.

The Kalman filter is the minimum-variance state estimator for linear dynamic systems with Gaussian noise [21].

Technically, Trump is chasing delegates, not wins, but most of the remaining states award at least some delegates to the statewide winner (and there are still five winner-take-all contests left on the GOP calendar)....While there will continue to be some variance from state to state, Trump is now usually going to have to be in the 40s to win.

Because of the wide variance between states across history, state building may be best understood not in generic terms but as the result of political dynamics bearing the indelible imprint of their historical moment.

We found that 2 3 SNPs could explain 31.1% of the phenotypic variance in state 3, 12.9% of the phenotypic variance in state 4, and 18.0% of the variance in P O ratio (Table 3).

Extensive simulation results show that the combined strategy has a good performance in terms of variance and state estimation.