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The maximum decay rate is independent of mass and damping for light damping, but for higher damping it reduces as loss factor increases and increases as the mass ratio increase.
The control objective is to achieve a maximized relative stability or equivalently the maximum decay rate under the specified magnitude constraints on the input flowrate of hydrogen and oxygen.
In all cases this maximum decay rate is calculated over time intervals of 3 or 4 days.
We use experimental data for the acute peak viral load, the CD4+ T cell nadir and the maximum decay rate of the viral load after the peak.
This means that there must be a maximum decay rate for some intermediate peak viral load, and that the decay rate should become slower when the peak decreases further.
The argument goes as follows: increased death rate of infected cells translates into the decrease of the reproductive ratio at the peak RP, which uniquely determines the position of the maximum decay rate in Figure 2B (see Supplementary Material A for demonstration).
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An optimum curve (R2 = 0.80, n = 24), with maximum decay rates occurring at 10.0 ± 2 mg L−1 chlorophyll-a was observed.
By expanding equation 11 to zeroeth order in α R for r = 0, the maximum reservoir decay rate may be approximated as Λ r = 0 ≈ B = δ L + α Q.
The maximum decay ratio represents stability of the whole system.
Here (kappa= kappa_{a} + kappa_{la}), (kappa_{a}) is the half width half maximum (HWHM) cavity decay rate and (kappa_{la}) is the intra-cavity loss term.
Under different levels of the upper bound μ 2 and λ, Table 1 and Table 2 list the results of the maximum allowable upper bound, the decay rate λ for different time delays and maximum values of μ 2 derived from various methods including the one proposed in this paper, respectively.
Related(18)
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