Sentence examples for memory observers from inspiring English sources

This paper is devoted to the design of a fault detection strategy for nonlinear switching discrete-time systems using Finite Memory Observers (FMO).

This approach is based on Finite Memory Observers (FMO), properties of this observer are presented in the first part of our work (Graton et al., 2014 [1]), the main results of this paper are recalled at the beginning of this paper and constitute the basis of this second part.

This paper presents extensions and improvements on the finite memory observer.

The application of the finite memory observer to the sensor fault detection problem is illustrated by a numerical example.

The properties of the Finite Memory Observer (FMO) are studied from a global point of view for the class of linear time-varying (LTV) systems with stochastic noises.

In Graton et al. (2014) [1], the design for the finite memory observer is shown, the determination of its optimal window length is solved, and the generation of residuals for diagnosis is completed.

After passing the memory test, observers performed 30 practice and 300 experimental visual search trials.

Thus, to succeed in this first memory task, observers would need to sustain view-invariant representations of the geons.

In the first memory task, observers attempted to remember 0 3 3D geons presented from different viewpoints in the sample and test arrays.

In the second memory task, observers attempted to remember 0, 2, 4, or 6 colored squares presented in a view/display (Figure 3A).

Such results would provide strong evidence that fear and disgust might distinctively boost or bounce attentional gating to working memory in observers.