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Thus, the exposure limit in the deterministic case protects the relevant fraction of the population (1 – I) against cancer as such, whereas the exposure limits in stochastic cases protect this fraction against the specified extra risk of cancer.
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In stochastic case, the slow subsystem is used to approximate the initial system and to the sensor fault-diagnosis.
The channel coefficients are modeled as Rayleigh-distributed in stochastic case and remain unchanged in each timeslot.
Energy harvesting rate is Gamma-distributed in stochastic case, because Gamma distribution can model many positive random variables [26] and remain unchanged in each timeslot.
In this section, our simulation results are based on the following premises: The channel coefficients are modeled as Rayleigh-distributed in stochastic case and remain unchanged in each timeslot.
The REISSP and AEISSP results proved in this paper employ the technique which is a combination of those by Sontag and Wang [1, 23], i.e., decomposition for a deterministic control system, and Spiliotis and Tsinias [21], i.e., decomposition in stochastic case for the SCS.
The similarity of the behaviors of susceptible bacteria populations in the random and stochastic cases can be seen in Figure 15.
Moreover, some parameters are much more restricted (i.e. better inferred) in the deterministic case than in the stochastic case (e.g. k2), while the other parameters are equally inferable in both cases (e.g. k10).
Moreover, it follows from the construction of eigenfunctions that they keep the 'statistic periodicity' property as that in the deterministic case and also in the stochastic case with Brownian motion.
A large confidence interval implies that large variations in the results should be expected, as in the stochastic case.
However, in the stochastic case, most of the reported works has been focused in Stochastic Differential Equations (SDE) driven by additive noise.
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