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Trials were presented in a pseudo-randomized order, controlling for both n − 2 and n − 1 condition repetitions.
There were three 30-sec active conditions (0-back, 1-back, 2-back) presented to participants five times in pseudo-random order, controlling for order effect.
There were three 30-s active conditions in total (0-, 1-, and 2-back) presented to subjects five times in pseudorandom order, controlling for any order effect.
Given the mentioned limitations, the results nevertheless indicate that assuming conductive heat transport as the first-order control for the thermal field is valid and give first-order estimates of deep temperature variations.
This paper presents a new model-free adaptive fractional order control approach for linear time-varying systems.
The parents were presented with the different HRQL measures in random order to control for an order effect at the group level of analysis.
All conditions were conducted in a random order to control for potential sequence order effects.
For each judgmental tasks all states were presented in random order to control for potential biases due to presentation order or respondent fatigue.
In this paper, a fractional-order synergetic control for fractional-order systems is proposed.
The problem of robust H∞ reduced-order control design for linear systems in presence of polytopic type uncertainties is addressed.
In order to control for this possibility, we follow Fazzari et al.
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