Consider the systems whose input-output relations are described below. In each case, u indicates the input and y indicates the output, both of which can take any real value, unless indicated otherwise. Furthermore, t or k indicate the time variable, where t e T := {t € R | t > to}, for some to e R and k e K := {k € Z | k > ko}, for some ko e Z, where R and Z respectively denote the sets of real numbers and integers. Moreover, int(-) indicates the integer part of ·. For each case, determine whether the system is (i) deterministic or non-deterministic, (ii) static or dynamic, (iii) causal or non-causal, (iv) linear or non-linear, (v) tỉme-invariant or time-varying, (vi) continuous-time or discrete-time or hybrid, and (vii) analog or digital or hybrid. Explain your answer in each case. u(t), with probability a) y(t) : b) y(t) = (int (u(t))² -u(t), with probability rt+1 c) y(t) = / u(7)dr = [ | sin(7)u(7)dr d) y(t) e) j(t) + 3ÿ(t) +2y(t) = ủ(t) + 3u(t), y(to) = j(to) = u(to) = 0 f) y(k + 1) = ku(k)y(k), y(ko) = 1, u(k) e Z

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c) y(t) = /., u
1. Consider the systems whose input-output relations are described below. In each case, u indicates
the input and y indicates the output, both of which can take any real value, unless indicated
otherwise. Furthermore, t or k indicate the time variable, where t e T:= {t €R |t > to}, for
some to e R and k E K := {k € Z | k > ko}, for some ko € Z, where R and Z respectively denote
the sets of real numbers and integers. Moreover, int(·) indicates the integer part of .
For each case, determine whether the system is (i) deterministic or non-deterministic, (ii) static or
dynamic, (iii) causal or non-causal, (iv) linear or non-linear, (v) time-invariant or time-varying,
(vi) continuous-time or discrete-time or hybrid, and (vii) analog or digital or hybrid. Explain
your answer in each case.
u(t) ,
with probability
a) y(t) =
b) y(t) = (int (u(t)))²
-u(t), with probability
t+1
c) y(t) = / u(7)dr
d) y(t) = sin(7)u(7)dr
e) й(() + 3ў(€) + 2у(t) %3D й(€) + Зи(t) , у(to) %3D ў(to) %3D и(to) %—D 0
f) y(k +1) = ku(k)y(k), y(ko) = 1, u(k) e Z
2. Find the impulse-response function (the two-variable one) of each system described in Question 1,
which is deterministic, linear, continuous-time, and analog.
3. Find the single-variable impulse-response function of each system described in Question 1, which
is deterministic, linear, time-invariant, continuous-time, and analog.
4. Assuming to = 0, find the transfer function of each system described in Question 1, which is
deterministic, causal, linear, time-invariant, continuous-time, and analog.
Transcribed Image Text:c) y(t) = /., u 1. Consider the systems whose input-output relations are described below. In each case, u indicates the input and y indicates the output, both of which can take any real value, unless indicated otherwise. Furthermore, t or k indicate the time variable, where t e T:= {t €R |t > to}, for some to e R and k E K := {k € Z | k > ko}, for some ko € Z, where R and Z respectively denote the sets of real numbers and integers. Moreover, int(·) indicates the integer part of . For each case, determine whether the system is (i) deterministic or non-deterministic, (ii) static or dynamic, (iii) causal or non-causal, (iv) linear or non-linear, (v) time-invariant or time-varying, (vi) continuous-time or discrete-time or hybrid, and (vii) analog or digital or hybrid. Explain your answer in each case. u(t) , with probability a) y(t) = b) y(t) = (int (u(t)))² -u(t), with probability t+1 c) y(t) = / u(7)dr d) y(t) = sin(7)u(7)dr e) й(() + 3ў(€) + 2у(t) %3D й(€) + Зи(t) , у(to) %3D ў(to) %3D и(to) %—D 0 f) y(k +1) = ku(k)y(k), y(ko) = 1, u(k) e Z 2. Find the impulse-response function (the two-variable one) of each system described in Question 1, which is deterministic, linear, continuous-time, and analog. 3. Find the single-variable impulse-response function of each system described in Question 1, which is deterministic, linear, time-invariant, continuous-time, and analog. 4. Assuming to = 0, find the transfer function of each system described in Question 1, which is deterministic, causal, linear, time-invariant, continuous-time, and analog.
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