Given a discrete-time linear time invariant system with input x[n] and output y[n] being related by y[n+2] -0.6y[n+ 1]- 0.16y[n] = 5x[n+ 2], the input x[n] = 0.4" u[n] and the initial conditions are y[-1] = 10, y[-2] = 0. The zero state response is yzs [n] = [c₁(-0.2)" + c₂ (0.8)" + c3 (0.4)"]u[n]. We have c
Given a discrete-time linear time invariant system with input x[n] and output y[n] being related by y[n+2] -0.6y[n+ 1]- 0.16y[n] = 5x[n+ 2], the input x[n] = 0.4" u[n] and the initial conditions are y[-1] = 10, y[-2] = 0. The zero state response is yzs [n] = [c₁(-0.2)" + c₂ (0.8)" + c3 (0.4)"]u[n]. We have c
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![Given a discrete-time linear time-invariant system with input \( x[n] \) and output \( y[n] \) being related by
\[
y[n + 2] - 0.6y[n + 1] - 0.16y[n] = 5x[n + 2],
\]
the input \( x[n] = 0.4^n u[n] \) and the initial conditions are \( y[-1] = 10, y[-2] = 0 \).
The zero state response is \( y_{ZS}[n] = [c_1 (-0.2)^n + c_2 (0.8)^n + c_3 (0.4)^n u[n] \).
We have \( c_1 = \underline{\hspace{1cm}} \).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdd91d152-4a4a-43e7-9f1c-66f8ad4602ee%2F6438a462-d4e1-4801-8162-70dc2fba3803%2Fckq9abj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Given a discrete-time linear time-invariant system with input \( x[n] \) and output \( y[n] \) being related by
\[
y[n + 2] - 0.6y[n + 1] - 0.16y[n] = 5x[n + 2],
\]
the input \( x[n] = 0.4^n u[n] \) and the initial conditions are \( y[-1] = 10, y[-2] = 0 \).
The zero state response is \( y_{ZS}[n] = [c_1 (-0.2)^n + c_2 (0.8)^n + c_3 (0.4)^n u[n] \).
We have \( c_1 = \underline{\hspace{1cm}} \).
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