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The adapted observer based AFTC system retains the well-accepted industrial controller as the baseline controller, while an extended state observer (ESO) is designed to provide estimates of system states and fault signals within a linear parameter varying (LPV) descriptor system context using linear matrix inequality (LMI).
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In this paper, the problem of robust fault diagnosis of proton exchange membrane (PEM) fuel cells is addressed by introducing the Takagi-Sugeno (TS) interval observers that consider uncertainty in a bounded context, adapting TS observers to the so-called interval approach.
This window setting could be individually adapted by the observer if deemed appropriate.
In each daily session, observers adapted to one condition (e.g. dense original) and then searched for the targets within the original image set or the sharpened image set (e.g. dense original or dense sharpened).
To test for blur after-effects, we instead used a relative judgment in which observers adapted to both a blurred and sharpened image in two separate fields and then compared the relative appearance of a pair of test images shown within the same fields.
Figure 1A provides an example of the resultant psychometric functions for the condition where observers adapted to delayed audio-motor feedback following their motor actions.
Observers adapted to a fixed delay (either 50, 100, 200, 400 or 800 ms) between the completion of their motor action (a mousepress) and either visual (an LED 'flash'), auditory (a white noise 'click') or tactile (a 'tap' delivered to the opposite index finger) feedback.
On each trial, observers adapted to the room illumination while the experimenter described the task.
Observers adapted to a peripheral patch of noise surrounded by four Gabor flankers.
This dataset defined the full history of 'previous observations' of the ideal observer, and therefore characterises the visual environment to which the observer is adapted.
However, in this case we did not observe clear effects of either the image filtering or the observer's adapted state.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com