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In this paper the signal synchronization of a class of chaotic systems based on robust observer design is tackled.
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Finally, an observer bank based on robust H∞ observers is used to generate residuals and perform sensor fault detection and isolation.
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C.I. based on robust standard errors.
These revenue projections are based on robust user growth.
RDBC criterion is based on robust estimator which is biased.
Loans payments were based on robust technical, financial and operational milestones.
The study was therefore based on robust data base.
All hazard ratios were modified based on robust variance estimates.
Standardized results based on robust maximum likelihood estimation are presented.
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