Your English writing platform
Discover LudwigSimilar(60)
However, to the best of our knowledge, the issue of reliable L 1 control for positive switched systems with stable and unstable subsystems has not been fully investigated, which motivates us to carry out the present work.
This paper investigates the robust reliable L∞ control for a class of uncertain switched nonlinear systems with time delay.
To initiate the experiment, 5 mM D-glucose, 10 mM D-glucose, 20 mM D-glucose, 5 mM D-glucose plus 5 mM L-glucose (osmotic control for 10 mM D-glucose), or 5 mM D-glucose plus 15 mM L-glucose (osmotic control for 20 mM D-glucose), was added to the basolateral chamber and fluorescent readings of the apical surface taken hourly.
Blood was withdrawn in PAXgene tubes (PreAnalytix, GmbH, Germany) at baseline, i.e. 5 min before the glucose clamp test, and 70 min after the hyperglycemic clamp of 10 mm/L l for controls or 15 mm/L for T2DM patients and individuals with MetS.
If differences in baseline characteristics occur between intervention groups, for example in baseline EQ-5D-3 L score, the analysis will control for these baseline differences using regression-based adjustment [ 80].
In this paper, the reliable L 1 control problem for positive switched systems with time-varying delays has been discussed.
Our future work will focus on the reliable L 1 control problem for discrete-time positive switched systems with time-varying delays.
Their transcriptional response to the presence of different inducers was then quantified by qPCR using lad1 as a positive control for an l-arabinose inducible gene.
The successful leafy spurge (Euphorbia esula L). control program provides examples for future integrated weed programs that utilize biological control agents with traditional methods.
We study the problem of L2 L∞ control for a class of uncertain singular systems with time-delay and norm-bounded parameter uncertainties in this paper.
This paper deals with the problem of robust resilient L2−L∞ control for stochastic systems with multiple time delays and norm-bounded parameter uncertainties via dynamic output feedback.
Write better and faster with AI suggestions while staying true to your unique style.
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