Concept:
The transfer function of a complicated feedback network can be obtained using Mason's Gain Formula.
\[
T=\frac{\sum P_k\Delta_k}{\Delta}
\]
where
• \(P_k\) = Forward path gain
• \(\Delta = 1-\text{(sum of loop gains)}+\text{(sum of products of non-touching loops)}\)
• \(\Delta_k\) = Cofactor associated with the \(k^{th}\) forward path
Step 1: Determine the forward path gain.
There is only one forward path from input \(R(s)\) to output \(C(s)\):
\[
R(s)\rightarrow G_1\rightarrow G_2\rightarrow G_3\rightarrow G_4
\]
Hence
\[
P_1=G_1G_2G_3G_4.
\]
Step 2: Identify individual feedback loops.
Loop through \(H_1\):
\[
L_1=-G_1G_2H_1
\]
Loop through \(H_2\):
\[
L_2=-G_3G_4H_2
\]
Loop through \(H_3\):
\[
L_3=-G_2G_3H_3
\]
Step 3: Find non-touching loops.
The loops involving \(H_1\) and \(H_2\) do not touch each other.
Therefore
\[
L_1L_2
=
(-G_1G_2H_1)(-G_3G_4H_2)
=
G_1G_2G_3G_4H_1H_2.
\]
No other pair of loops is non-touching.
Step 4: Compute \(\Delta\).
Using Mason's formula,
\[
\Delta
=
1-(L_1+L_2+L_3)+L_1L_2.
\]
Substituting,
\[
\Delta
=
1+G_1G_2H_1+G_3G_4H_2+G_2G_3H_3
+G_1G_2G_3G_4H_1H_2.
\]
Rearranging,
\[
\Delta
=
(1+G_1G_2H_1)(1+G_3G_4H_2)
+
G_2G_3H_3.
\]
Step 5: Determine \(\Delta_1\).
Since all loops touch the forward path,
\[
\Delta_1=1.
\]
Step 6: Apply Mason's Gain Formula.
\[
\frac{C(s)}{R(s)}
=
\frac{P_1\Delta_1}{\Delta}
=
\frac{G_1G_2G_3G_4}
{(1+G_1G_2H_1)(1+G_3G_4H_2)+G_2G_3H_3}.
\]
Step 7: Final Answer.
\[
\boxed{
\frac{C(s)}{R(s)}
=
\frac{G_1G_2G_3G_4}
{(1+G_1G_2H_1)(1+G_3G_4H_2)+G_2G_3H_3}
}
\]
Hence,
\[
\boxed{\text{Correct Option (A)}}
\]