Step 1: Define signals.
Let input be \(R(s)\), output be \(Y(s)\).
From diagram:
- First summing node input = \(2R(s)\) (top branch), plus feedback from output of integrator.
- Output of first node enters integrator \(\frac{1}{s}\).
Step 2: First summing junction.
Let its output be \(X(s)\).
\[
X(s) = 2R(s) + Y(s)
\]
Step 3: Output of integrator.
\[
\frac{1}{s} X(s)
\]
This goes into second summing junction along with \(3R(s)\).
Step 4: Second summing junction.
\[
Y(s) = \frac{1}{s}X(s) + 3R(s)
\]
Step 5: Substitute \(X(s)\).
\[
Y(s) = \frac{1}{s}[2R(s) + Y(s)] + 3R(s)
\]
Step 6: Simplify.
Multiply through by \(s\):
\[
sY(s) = 2R(s) + Y(s) + 3sR(s)
\]
\[
sY(s) - Y(s) = (2 + 3s)R(s)
\]
\[
(s-1)Y(s) = (3s+2)R(s)
\]
Step 7: Transfer function.
\[
\frac{Y(s)}{R(s)} = \frac{3s+2}{s-1}
\]
Wait! Let's carefully check — did we misinterpret the feedback path?
From the diagram: The block "1" feeds forward from \(Y(s)\) back into the first summing junction.
So indeed:
\[
X(s) = 2R(s) + (1)\cdot Y(s)
\]
Yes, that's consistent.
After simplifying, we got \(\dfrac{3s+2}{s-1}\), which corresponds to option (B).
Final Answer: \[ \boxed{\frac{3s+2}{s-1}} \]
Given an open-loop transfer function \(GH = \frac{100}{s}(s+100)\) for a unity feedback system with a unit step input \(r(t)=u(t)\), determine the rise time \(t_r\).
Consider a linear time-invariant system represented by the state-space equation: \[ \dot{x} = \begin{bmatrix} a & b -a & 0 \end{bmatrix} x + \begin{bmatrix} 1 0 \end{bmatrix} u \] The closed-loop poles of the system are located at \(-2 \pm j3\). The value of the parameter \(b\) is: