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Comprehension

The state variable formulation of a system is given as

\(\left[ \begin{matrix} x_1 \\\ x_2 \end{matrix} \right] = \left[ \begin{matrix} -2 && 0 \\\ 0 && -1 \end{matrix} \right]\left[ \begin{matrix} x_1 \\\ x_2 \end{matrix} \right]+\left[ \begin{matrix} 1 \\\ 1 \end{matrix} \right]u, x_1(0)=0, x_2(0)=0 \:an\:y = \left[ \begin{matrix} 1 &&0 \end{matrix} \right]\left[ \begin{matrix} x_1 \\\ x_2 \end{matrix} \right]\)


1. \(\frac{1}{2}-\frac{1}{2}e^{-2t}\)
2. \(1-\frac{1}{2}e^{-2t}-\frac{1}{2}e^{-t}\)
3. e-2t - e-t
4. 1 - e-t
5.

1 Answer

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Correct Answer - Option 1 : \(\frac{1}{2}-\frac{1}{2}e^{-2t}\)

Given state model is

\(\left[ \begin{matrix} x_1 \\\ x_2 \end{matrix} \right] = \left[ \begin{matrix} -2 && 0 \\\ 0 && -1 \end{matrix} \right]\left[ \begin{matrix} x_1 \\\ x_2 \end{matrix} \right]+\left[ \begin{matrix} 1 \\\ 1 \end{matrix} \right]u \)    ------- (1)

\(y = \left[ \begin{matrix} 1 &&0 \end{matrix} \right]\left[ \begin{matrix} x_1 \\\ x_2 \end{matrix} \right]\)       ------- (2)

From equation (1),

(dx1/dt) = 2 x1 + u

Taking Laplace transform, we get

s x1(s) - x1(0) = 2 x1(s) + (1/s)

⇒ x1 (s) = 1/(s × (s+2))

From equation (2),

y = x1

Taking Laplace transform we get,

⇒ y(s) = x1(s)

⇒ y(s) = 1/(s × (s+2))

⇒ y(s) = \(\frac{1}{2}[\frac{1}{s}-\frac{1}{s+2}]\)

Taking inverse Laplace transform, we get

y(t) = \(\frac{1}{2}-\frac{1}{2}e^{-2t}\)

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