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.
For a unit step input $$r(t),$$ the steady state error in the input will be
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
$$\mathop X\limits^ \bullet \left( t \right) = \left( {\matrix{ 0 & 1 \cr 0 & { - 3} \cr } } \right)X\left( t \right) + \left( {\matrix{ 1 \cr 0 \cr } } \right)u\left( t \right)$$ 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
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
$$\mathop X\limits^ \bullet \left( t \right) = \left( {\matrix{ 0 & 1 \cr 0 & { - 3} \cr } } \right)X\left( t \right) + \left( {\matrix{ 1 \cr 0 \cr } } \right)u\left( t \right)$$ 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
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
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