Understanding The Sensitivity Function
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In this video I explain the sensitivity function and try to demystify the equation used to solve for the nominal sensitivity peak. Sensitivity describes how much process variations affect your design. A design that has high sensitivity will be more susceptible to process variations, and therefore have a higher chance of going unstable, than a system with low sensitivity.
Errata:
6:00 - I wrote a = r * C(s) * G(S) - y, I should have written a = C(S) * G(S) * (r - y)
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