1
GATE EE 2008
MCQ (Single Correct Answer)
+2
-0.6
The state space equation of a system is described by $$\mathop X\limits^ \bullet = AX + BU,\,\,Y = Cx$$ where $$X$$ is state vector, $$U$$ is input, $$Y$$ is output and $$$A = \left( {\matrix{ 0 & 1 \cr 0 & { - 2} \cr } } \right)\,\,B = \left( {\matrix{ 0 \cr 1 \cr } } \right)\,\,C = \left[ {\matrix{ 1 & 0 \cr } } \right]$$$

A unity feedback is provided to the above system $$G(s)$$ to make it a closed loop system as shown in figure.

GATE EE 2008 Control Systems - State Variable Analysis Question 20 English

For a unit step input $$r(t),$$ the steady state error in the input will be

A
$$0$$
B
$$1$$
C
$$2$$
D
$$\infty $$
2
GATE EE 2005
MCQ (Single Correct Answer)
+2
-0.6
A state variable system
$$\mathop X\limits^ \bullet \left( t \right) = \left( {\matrix{ 0 & 1 \cr 0 & { - 3} \cr } } \right)X\left( t \right) + \left( {\matrix{ 1 \cr 0 \cr } } \right)u\left( t \right)$$ with the initial condition $$X\left( 0 \right) = {\left[ { - 1\,\,3} \right]^T}$$ and the unit step input $$u(t)$$ has

The state transition matrix

A
$$\left( {\matrix{ 1 & {{1 \over 3}\left( {1 - {e^{ - 3t}}} \right)} \cr 0 & {{e^{ - 3t}}} \cr } } \right)$$
B
$$\left( {\matrix{ 1 & {{1 \over 3}\left( {{e^{ - t}} - {e^{ - 3t}}} \right)} \cr 0 & {{e^{ - t}}} \cr } } \right)$$
C
$$\left( {\matrix{ 1 & {{1 \over 3}\left( {{e^{ - t}} - {e^{ - 3t}}} \right)} \cr 0 & {{e^{ - 3t}}} \cr } } \right)$$
D
$$\left( {\matrix{ 1 & {\left( {1 - {e^{ - t}}} \right)} \cr 0 & {{e^{ - 3t}}} \cr } } \right)$$
3
GATE EE 2005
MCQ (Single Correct Answer)
+2
-0.6
A state variable system
$$\mathop X\limits^ \bullet \left( t \right) = \left( {\matrix{ 0 & 1 \cr 0 & { - 3} \cr } } \right)X\left( t \right) + \left( {\matrix{ 1 \cr 0 \cr } } \right)u\left( t \right)$$ with the initial condition $$X\left( 0 \right) = {\left[ { - 1\,\,3} \right]^T}$$ and the unit step input $$u(t)$$ has

The state transition equation

A
$$X\left( t \right) = \left( {\matrix{ {t - {e^{ - t}}} \cr {{e^{ - t}}} \cr } } \right)$$
B
$$X\left( t \right) = \left( {\matrix{ {t - {e^{ - t}}} \cr {3{e^{ - 3t}}} \cr } } \right)$$
C
$$X\left( t \right) = \left( {\matrix{ {t - {e^{ - 3t}}} \cr {3{e^{ - 3t}}} \cr } } \right)$$
D
$$X\left( t \right) = \left( {\matrix{ {t - {e^{ - 3t}}} \cr {{e^{ - t}}} \cr } } \right)$$
4
GATE EE 2004
MCQ (Single Correct Answer)
+2
-0.6
The state variable description of a linear autonomous system is, $$\mathop X\limits^ \bullet = AX,\,\,$$ where $$X$$ is the two dimensional state vector and $$A$$ is the system matrix given by $$A = \left[ {\matrix{ 0 & 2 \cr 2 & 0 \cr } } \right].$$ The roots of the characteristic equation are
A
$$-2$$ and $$+2$$
B
$$-j2$$ and $$+j2$$
C
$$-2$$ and $$-2$$
D
$$+2$$ and $$+2$$
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