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The performance of the algorithm is evaluated and compared with algorithm based on standard interval methods.
The interval variables are further transformed into the standard interval [−1,1].
Moreover, it is shown that HOSM techniques allows us to relax the applicability conditions of standard interval observer design methods.
After reformulating the PBE in the standard interval [−1,1], the size distribution function is represented as a series expansion by a complete system of orthonormal functions.
The properties of the standard interval arithmetic, the interval Taylor expansion, the convex models and the Monte Carlo Method solutions are investigated and compared.
As a measure of performance, 75% difference thresholds in relation to a 50-msec (time perception) and a 1000-msec (timestimationon) standard interval were determined.
Smooth nonlinear functions of standard interval variables are projected in the basis of Legendre polynomials by exploiting its orthogonal properties over the interval [−1,1].
Our study should be considered in the context of other studies that have evaluated a "dose-dense" or "time-sequential" approach in which two cycles of intensive chemotherapy were applied during induction with either a "standard interval"—i.e., the 2nd cycle starting on day 21 or a substantially shorter interval between the cycles ("dose-dense" approach).
One pair (the standard interval) was separated by 500 ms on every trial for half of the participants ("500 group") and 800 ms on every trial for the other half ("800 group").
OBS receivers were deployed at a standard interval of 5 km.
The magnitude of these pitch-level effects decreased as the duration of the standard interval was increased, suggesting that the effect was driven by differences in mode-switch latencies to start/stop timing.
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