Sentence examples for disturbance framework from inspiring English sources
The usefulness of the proposed disturbance framework – from modeling to ensuring the integral action under a wide variety of scenarios – is demonstrated through several examples.
Using the disturbance framework, our observation system simulation experiments (OSSE) show it is possible to robustly estimate the mean biomass loss for the ensemble (E M) and also the disturbance regime, as described by E P and E I (Fig. 2; Table 1).
Using the disturbance framework, our observation system simulation experiments (OSSE) show it is possible to robustly estimate the mean biomass loss for the ensemble (EM) and also the disturbance regime, as described by EP and EI (Fig. 2; Table 1).
For this purpose, a nonlinear PID and active disturbance rejection framework are introduced in this paper.
To do this, a generalized disturbance attenuation framework named robust internal-loop compensator (RIC) is introduced and it is shown that sliding mode controller based on Lyapunov redesign can be analyzed in the RIC framework.
To make a tradeoff between fault sensitivity and disturbance sensitivity, frameworks such as H−/H∞, H2/H∞, and H∞/H∞ are considered.
In an effort to contribute to this need, we developed an innovative approach to landscape monitoring: the disturbance-inventory framework, which is applied for the first time as described here to monitor annual changes in an 8800-km2 multi-use landscape in west-central Alberta, Canada.
With this method, we propose a continuous disturbance-regrowth monitoring framework, where LTS data are continually monitored for disturbances, post-disturbance regrowth, repeat disturbances, and so on.
Eisenman's disturbance of that framework calls these dualisms into question.
Describing forest disturbance using this framework has a number of advantages over traditional descriptors as it avoids the need for an arbitrary threshold for a forest cover loss used in other studies, e.g. [16].
By grouping satellite observations into ensembles with a common disturbance regime, the framework is able to mitigate the impacts of poor signal-to-noise ratio that limits current satellite observations.
