A causal LTI system has the transfer function H(s) given below: 28 H(s) = (s+1-j100) (s+1+j100)* 1) Determine a differential equation for this system. 2) Sketch the pole-zero plot for this system. 3) Sketch the frequency response magnitude of this system. Do not use a log scale, i.e., do not sketch the Bode plot.

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**Title: Analysis of a Causal LTI System with Given Transfer Function**

**Transfer Function:**
A causal LTI (Linear Time-Invariant) system has the transfer function \( H(s) \) defined as:

\[ 
H(s) = \frac{2s}{(s + 1 - j100)(s + 1 + j100)} 
\]

**Tasks:**

1. **Determine a Differential Equation for this System:**

   To find the differential equation, express the transfer function in terms of time-domain variables by taking the inverse Laplace transform. This involves equating \( H(s) \) to the ratio of polynomials in \( s \), corresponding to derivatives in the time domain.

2. **Sketch the Pole-Zero Plot for this System:**

   - **Poles**: The system's poles are located at \( s = -1 + j100 \) and \( s = -1 - j100 \).
   - **Zero**: There is a zero at the origin, \( s = 0 \).

   The pole-zero plot involves marking these poles and the zero on the complex plane.

3. **Sketch the Frequency Response Magnitude of this System:**

   To sketch the frequency response magnitude, calculate the magnitude of \( H(j\omega) \) over a range of frequencies. This involves substituting \( s = j\omega \) and plotting the results on a linear scale.

4. **What Type of Filter is this System?**

   Analyze the position and frequency response characteristics to determine if it behaves like a low-pass, high-pass, band-pass, or band-stop filter.

5. **Determine the Output \( y(t) \) of this System when the Input is \( x(t) = u(t) - e^{-3t}u(t) \):**

   - \( u(t) \): Unit step function.
   - \( e^{-3t}u(t) \): Exponential decay starting from \( t = 0 \).

   Use convolution or Laplace transform properties to find the response \( y(t) \).

6. **Is this System Stable? Why or Why Not?**

   Evaluate stability by analyzing the location of poles:
   - A system is stable if all poles have negative real parts.
   - With poles at \( s = -1 \pm j100 \), both poles have negative real parts.

Thus, the system is stable.

This analysis
Transcribed Image Text:**Title: Analysis of a Causal LTI System with Given Transfer Function** **Transfer Function:** A causal LTI (Linear Time-Invariant) system has the transfer function \( H(s) \) defined as: \[ H(s) = \frac{2s}{(s + 1 - j100)(s + 1 + j100)} \] **Tasks:** 1. **Determine a Differential Equation for this System:** To find the differential equation, express the transfer function in terms of time-domain variables by taking the inverse Laplace transform. This involves equating \( H(s) \) to the ratio of polynomials in \( s \), corresponding to derivatives in the time domain. 2. **Sketch the Pole-Zero Plot for this System:** - **Poles**: The system's poles are located at \( s = -1 + j100 \) and \( s = -1 - j100 \). - **Zero**: There is a zero at the origin, \( s = 0 \). The pole-zero plot involves marking these poles and the zero on the complex plane. 3. **Sketch the Frequency Response Magnitude of this System:** To sketch the frequency response magnitude, calculate the magnitude of \( H(j\omega) \) over a range of frequencies. This involves substituting \( s = j\omega \) and plotting the results on a linear scale. 4. **What Type of Filter is this System?** Analyze the position and frequency response characteristics to determine if it behaves like a low-pass, high-pass, band-pass, or band-stop filter. 5. **Determine the Output \( y(t) \) of this System when the Input is \( x(t) = u(t) - e^{-3t}u(t) \):** - \( u(t) \): Unit step function. - \( e^{-3t}u(t) \): Exponential decay starting from \( t = 0 \). Use convolution or Laplace transform properties to find the response \( y(t) \). 6. **Is this System Stable? Why or Why Not?** Evaluate stability by analyzing the location of poles: - A system is stable if all poles have negative real parts. - With poles at \( s = -1 \pm j100 \), both poles have negative real parts. Thus, the system is stable. This analysis
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