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This paper investigates the observation problem for a class of MIMO non uniformly observable systems in the presence of sampled and delayed outputs.
The observation problem is dealt with by designing a high-gain type observer.
The solution of the H2-optimal state observation problem with unknown inputs straightforwardly comes by duality.
In multiphase induction motor drive, the observation problem arises especially for rotor flux that is not accessible for measurement.
This work addresses the state observation problem for a class of switched linear systems with unknown inputs.
The observation problem for linear switched systems with unknown inputs is addressed and solved via sliding mode technique.
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This approach was tested on various space plasma observation problems.
The proposed formulation is applied to the disturbance observation problems for multivariable nonminimum-phase systems with arbitrary relative degrees.
The more flexible models allow for the treatment of repeated observations problem common to stated preference data and provide a better fit to the data, although willingness-to-pay results remain almost invariant.
The more flexible ML models also allow to treat the repeated observations problem common to SP data and, as expected, gave a better fit to the data in all cases.
Most methods dealing with the large p (number of covariates) small n (number of observations) problem have dealt only with continuous traits, but there are many important traits in livestock that are recorded in a discrete fashion (e.g. pregnancy outcome, disease resistance).
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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