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The results show that the calculated upper bound for the dwell time is close to the lower bound of the dwell time observed by simulations.
Moreover, the switching law uses only the lower bound of the dwell time and partial measurable states of the closed-loop system, which is applicable in output feedback framework.
The proposed method finds the values of PD-like controller parameters which minimize an upper bound of the dwell time, minimum time needed between the switching instants to preserve stability.
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An iterative algorithm is proposed for estimating the lower bound of the average dwell time.
By limiting the lower bound of average dwell time, the stability of system (9a - 9c) is guaranteed.
If the active dynamics is estimated correctly within a certain time, and the dwell time of the switched linear system is lower bounded, it will be shown that the bound of the estimation error can be reduced significantly.
We first prove the well-defined property of the switching rule, which means that there is a lower bound of dwell time between any two consecutive switching time instants.
The histograms of the dwell time of translocation events.
During the 12 min long recording the dwell time of burst like behaviour was less than 10% of the dwell time of channel type fluctuations.
This value must then be transformed for the bandwidth used in our system, which requires division by the square root of the dwell time in seconds (t dwell).
Based on the target length and number of dwell points (number of steps), the algorithm modulates the dwell times and corresponding dwell positions that optimize the weighted addition of staggered EGS4 Monte Carlo (MC) calculated dose distribution from a single RST.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com