Show that for a linearly separable dataset, the maximum likelihood solution for the logisitic regression model is obtained by fi
nding a weight vector w whose decision boundary wx.
1 answer:
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Answer:
Gc(s) =
Explanation:
comparing the standard approximation with the plot attached we can tune the PI gains so that the desired response is obtained. this is because the time requirement of the setting is met while the %OS requirement is not achieved instead a 12% OS is seen from the plot.
attached is the detailed solution and the plot in Matlab
