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Unknown input observer based robust control for fuzzy descriptor systems subject to actuator saturation

Overview of attention for article published in Mathematics & Computers in Simulation, January 2023
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Mentioned by

twitter
1 X user

Readers on

mendeley
3 Mendeley
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Title
Unknown input observer based robust control for fuzzy descriptor systems subject to actuator saturation
Published in
Mathematics & Computers in Simulation, January 2023
DOI 10.1016/j.matcom.2022.06.013
Authors

K. Houda, D. Saifia, M. Chadli, S. Labiod

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 July 2022.
All research outputs
#17,866,085
of 26,169,168 outputs
Outputs from Mathematics & Computers in Simulation
#183
of 341 outputs
Outputs of similar age
#279,766
of 487,245 outputs
Outputs of similar age from Mathematics & Computers in Simulation
#5
of 10 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 341 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 487,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.