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System and Control Theory

I Midterm test (November 6th, 2017) A

Name: Last Name: MATRICOLA:

Solve the following exercises and report the answers with motivations:

Exercise 1.

Given a CT LTI system presenting two eigenvalues λ 1 = 1 and λ 2 = 2, which corresponding eigenvalues are v 1 = [1 1] 0 e v 2 = [0 1] 0 . Assume that the diagonalized system present a state z(t) = V x(t). Let z ZIC (t) = [0 e 2t ] 0 be the zero initial condition response, for a impulse input. If the eigenvalue λ = 2 is hidden (not a pole), then

a) Find the overall system in state space with respect to the state variable x(t).

b) The system modes are divergent for t sufficiently large? Show them and answer the question.

c) Is ky(t)k bounded for any input such that ku(t)k < M ? Please prove it.

Answers:

a) Overall System: A = [1 0; 1 2]; B = [0; 1], C = [c 1 0], D=0;

b) Modes? e t and e 2t .

Divergence? Divergent modes because the eigenvalues are positive.

c) ky(t)k ? Even if the system has two hidden modes that are unstable, the transfer function is

G = 0 and the oputput is always zero.

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Exercise 2

Given a CT LTI system

n x ˙ = Ax + Bu

y = Cx

dove

A = h 0 γ 1 γ

i

; B = h 1 1

i

; C = [1 1].

1. Determine, if possible, γ values such that the following conditions are independently satisfied:

1.a The undriven response in the state for any initial condition x 0 6= 0 is constant ∀t ≥ 0.

1.b The undriven response in the state for any initial condition x 0 6= 0 is not divergent for t sufficiently large.

2. If γ = 0 is the system minimal?

Answers:

1.a γ: For no value of γ we can obtain an undriven response that is constant

1.b γ:

For γ < 0 two eigenvalues with negative real part (not divergent).

2. Minimality: it is minimal. No common roots between numerator and denominator.

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Exercise 3.

Given a NL LTI CT system such that

˙

x 1 (t) = −x 2 1 (t) + x 2 (t)

˙

x 2 (t) = −2x 2 1 (t) − x 2 (t) 1 Determine the equilibrium points and study their local stability.

2 Analyze the global stability.

Answers:

1.1 Equilibrium points: ¯ x = [0; 0]. A l = [0 1; 0 0].

1.2 Local Stability: Because the linearized system presents two eigenvalue equal to zero, with the indirect liapunov method is not possible to infer anything about the nonlinear system.

2.1 Global Stability: Presenting the system only one equilibrium point, via a The direct Liapunov

method is in principle possible to check the global stability if it exists a Liapunov function in the

entire space.

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Exercise 4.

Let us consider an LTI DT System constituted by two subsystems G 1 e G 2 in parallel. The difference equation of the first subsystem G 1 ( input u 1 and output v) is

v(k + 2) = u 1 (k + 1) + 2u 1 (k) + 0.5v(k + 1), while the one describing the second subsystem G 2 (input v and output y ) is

y(k + 2) = +y(k) − αy(k − 1) + u 2 (k − 1)

a) Determine an overall system representation in state space from the input u = u 1 = u 2 to the output z = y + v.

b) Determine the overall H(z) transfer function. b) Study the external and internal stability of the system.

c) If the input u 1 is a WN (2, 10). What is the mean value of the output v, and the spectrum Φ v (e )?

d) The output process v is a MA, AR or ARMA process??

Answers:

a) (A,B,C,D):

A1 = [0 1; 0 − 0.5]; B1 = [0; 1]; C1 = [2 1], D1 = 0; A2 = [0 1 0; 0 0 1; α 1 0]; B2 = [0; 0; 1];

D2 = 0.

Overall system: A = [A1 0; 0 A2]; [B1; B2]; C = [C1 C2]; D = 0 b) H(z) = (z

4

+2z

3

−(α+1.5)z−2α)

(z

2

+0.5z)(z

3

−z−α)

c) Stability:

Internal: the system presents two eigenvalues in 0 and −0, 5 that are stable and the solution of the polynomial z 3 − z − α.

External: If there are no common factors, and the system is internally stable, the external stability coincides with the internal one.

d) This question refers only to system 1. The system is stable and with no cancellation. We can apply the thoerem of the response of stochastic system. m v = G1(1) ∗ m u = 4

Φ v (e ) = λ 2 ∗ |G1(e | 2 = 10| (e

2jω

(2+e +0.5e

)

) | 2

PROCESS: The process is an ARMA process

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