Chapter 5 Robust Performance Tailoring with Tuning - SSL - MIT

at α =0.1 to further explore the trade between robustness and tuning authority. The
uncertainty parameters used in this set of simulations are plotted in Figure 5-9. Note
that the bounds on the uncertainty parameters are increased compared to those in
the corresponding figure from the previous set of simulations, Figure 5-7. The 200
samples do not cover the entire space evenly, but do provide decent coverage across
the grid.
E 2 [Pa]
8.5
8
7.5
7
6.5
6
x 10 10
6 6.5 7 7.5 8 8.5
x 10 10
E [Pa]
1
Figure 5-9: Uncertainty points considered in Monte Carlo hardware simulation study,
∆=21.5%.
The nominal and tuned perfromances from the hardware simulations are plotted
in Figure 5-10 along with a bar chart indicating the success rate of each design.
The performance plot (Figure 5-10(a)) is similar in trend to that from the previous
set of simulations (Figure 5-8(a)), but there are some key differences. First, the
range of the PT nominal performance values is much higher due to the increase
in uncertainty bounds. The PT hardware simulations range from 101.87µm allthe
way to 2591.10µm, over twice the value of the maximum at ∆ = 10%. A similar
increase occurs in the tuned range as well (112.98µm to 740.47µm), and the maximum
tuned value is over twice that of the requirement. The RPT design simulations
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