ANSWER:
(a)
MATLAB Script:
%% Problem (a)
clear
clc
num = [100 200];
den = [1 5 4 0];
G = tf(num,den);
T = feedback(G,1);
figure()
bode(T)
grid on
figure()
step(T)
stepinfo(T)
Bode Plot:
From the Bode plot, the %OS can be estimated as
os = (10^(10.8/20) - 1)/10^(10.8/20) = 71.159%
Step response and system characteristics:
(b)
MATLAB Script:
%% Problem (b)
clear
clc
num = [50 50*8 50*15];
den = [1 12 44 48 0];
G = tf(num,den);
T = feedback(G,1);
figure()
bode(T)
grid on
figure()
step(T)
stepinfo(T)
Bode Plot:
From the Bode plot, the %OS can be estimated as
os = (10^(5.94/20) - 1)/10^(5.94/20) = 49.533%
Step response and system characteristics:
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