NEW
Font size
WorksheetsCA - 3 (STATE VARIABLE MODELLING & ANALYSIS)
Total questions: 20
Worksheet time: 20mins
For an nth order SISO system, the system matrix ′A′ is of the order of
n×n
n×1
1×n
None of the above
State space approach of the system analysis is a frequency domain analysis
True
False
For an nth order control system, minimum number of state variables which can completely describe the system behaviour are
n
1
2n
2n
For a single input, 4 state & 2 output system, the dimension of A matrix is
4×2
2×4
4×1
4×4
For a 4th order SISO system the dimension of C matrix is
4×1
1×4
4×4
4×2
In series RLC circuit, the number of the state variables are
3
2
1
None of these
The state variable technique is suitable for
Only time varying system
Linear as well as non-linear system
All type of system
B=P−1B
B=PB
B=BP−1
B=BP
Resolvent matrix θ(s) is defined as
[sI−A]
∣sI−A∣
[sI−A]−1
∣sI−A∣1
A set of state variable for a system is always unique
True
False
Which of the following is not a property of the State Transition Matrix, θ(t)
[θ(t)]−1=θ(t)
θ(−t)=−θ(t)
θ(t1+t2)=θ(t2).θ(t1)
[θ(t)]n=nθ(t)
Eigen values of a matrix are unique
True
False
All the Eigen values of the system matrix A always indicates the open loop poles of the system
True
Flase
For the State Transition Matrix, [θ(t)]n=nθ(t)
True
False
Cayley - Hamilton theorem is applicable for any matrix
True
False
x(t)=∫0teA(t−τ).Bu(τ)dτ , indicates the Zero Input Response (ZIR)
True
False
The Transfer Function of a State Model is given by
B[sI−A]−1C
B−1[sI−A]C
C[sI−A]−1B
C−1[sI−A]B
The matrix formed by placing the Eigen vectors together is called
State Transition Matrix
Modal Matrix
Resolvent Matrix
Transfer Matrix
The free response of a system is the system with
Step input
Any input
No input
A bounded input
The concept of Controllability & Observability were introduced by
Gilbert
Newton
Kalman
Gibson
