Sentence examples for by the dynamic error from inspiring English sources

The corresponding robust fused steady-state estimators are also presented, and the convergence in a realization between the time-varying and steady-state robust fused estimators is proved by the dynamic error system analysis (DESA) method.

The convergence in a realization between the robust fused time-varying and steady-state Kalman estimators for the time-varying and time-invariant systems are proved by the dynamic error system analysis (DESA) method.

The corresponding robust local and fused steady-state Kalman estimators are also presented, and the convergence in a realization between the time-varying and steady-state robust fused Kalman estimators is proved by the dynamic error system analysis (DESA) method.

Three modes of convergence in a realization among the time-varying and steady-state robust Kalman estimators for the time-varying and time-invariant systems are presented and proved by the dynamic error system analysis (DESA) method.

Specially, the corresponding steady-state robust local and fused Kalman filters are also presented for multisensor time-invariant systems, and the convergence in a realization of the local and fused time-varying and steady-state Kalman filters is proved by the dynamic error system analysis (DESA) method and dynamic variance error system analysis (DVESA) method.

The corresponding steady-state robust local and fused Kalman predictors are also presented, and the convergence in a realization between the time-varying and steady-state robust Kalman predictors is proved by the dynamic error system analysis (DESA) method and the dynamic variance error system analysis (DVESA) method.

Then, the tool-work relative vibration errors, i.e., the vibration errors needed for the dynamic error modeling [21], which can be obtained by the machine and cutting dynamics simulation.

Furthermore, whereas for the two simulations the dynamic error was always inferior or equivalent to the static error, during the robotic experiment session this trend was inverted (dynamic higher than static error).

Although we are unable to determine the dynamic error for a complex fluid such as mucus, we minimize contributions of dynamic error by comparing data at a long time scale (1 s) relative to the time interval between frames.

However, this cannot easily be satisfied in practical aided inertial navigation applications, for example, because of the drift errors of the inertial components, the dynamic errors caused by the carrier's maneuver, and the existence of the uncertainty in the external environment (Wang et al. 2010; Jin et al. 2014; Von Chong & Caballero 2014).

The paper proposed a plane constraint calibration method for static error calibration, whilst the dynamic errors are calibrated using a linear inverse dynamic error model.