Ricardo Azevedo, a Portuguese scientist now working as an assistant professor at the University of Houston in Texas, is one scientist who has made the most of a high-risk, high-gain strategy.
Here we see that high gain improves performance for both control strategies, but with renewal control (C) the effect is modest at best, with the final disturbance to terminal cell numbers actually exceeding the fractional rate of stem cell loss.
Two strategies are proposed; a nonhigh gain feedback design is employed to achieve robust stability of the controlled system with matched uncertainties, and a parameter diffeomorphism is used as a high gain control to robustify the cancellation of unmatched uncertainties.
By using such a transmission strategy, high gains in comparison to a conventional OFDM transmission with quadrature amplitude modulation (QAM) can be achieved.
Two conceptually distinct therapeutic gain strategies are provided.
Broadly, our approach can predict what strategy generates the highest gain based on the results of the cost-gain evaluation: to screen the compounds predicted to be active, to screen all the remaining data, or not to screen any additional compounds.
The variable-gain strategy is used to overcome well-known linear control design trade-offs between low-frequency tracking properties and high-frequency noise sensitivity.
They found that closed-loop feedback control yields positive gains in NPV for the majority of reservoir behaviors investigated, and higher gains than the open-loop strategy since closed-loop control can also yield positive gains in NPV even when the reservoir does not behave as expected.
First, while teachers adopting research-based instructional strategies report higher gains in tests, too often the adoptions remain unsustainable (Henderson et al. 2012).
However, the higher-educated active group showed earlier and higher strategy gains, and significant performance gains not observed in the inactives.
