E12 Linear Physical Systems Analysis
2026-02-10
What’s a pulse?
A pulse can be constructed by superimposing scaled and shifted Heaviside Step Functions
Recall what those are: \[ u_s(t) = \begin{cases} 1 & t > 0 \\ 0 & t < 0 \end{cases} \]
A pulse of width \(D\) and height \(A\) can be constructed using two (re-scaled and shifted) step functions


We wish to find \(x(t)\) when the input \(f(t)\) is the sum of two step functions. \[ \dot{x} + ax = \overbrace{A u_s(t) - A u_s(t-D)}^{f(t)} \]
The correct way to write the step response of a first-order system \(\dot{x} + ax = u_s(t)\) is \[ x(t) = \begin{cases} \displaystyle \frac{\left( 1- e^{-at} \right)}{a} & t > 0 \\ 0 & t < 0 \end{cases} \]
This is equivalent to \[ x(t) = \displaystyle u_s(t) \frac{\left( 1- e^{-at} \right)}{a} \]
The correct way to write the shifted unit step response of a first-order system \(\dot{x} + ax = u_s(t-t_1)\) is \[ x(t) = \begin{cases} \displaystyle \frac{\left( 1- e^{-a(t-t_1)} \right)}{a} & t > t_1 \\ 0 & t < t_1 \end{cases} \]
This is equivalent to \[ x(t) = \displaystyle u_s(t-t_1) \frac{\left( 1- e^{-a(t-t_1)} \right)}{a} \]

Step Response: \[ x(t) = \displaystyle u_s(t) \frac{\left( 1- e^{-at} \right)}{a} \]
Shifted Step Response: \[ x(t) = \displaystyle u_s(t-t_1) \frac{\left( 1- e^{-a(t-t_1)} \right)}{a} \]

\[ \begin{aligned} \mathcal{L}\left[ f(t-D) \cdot u_s(t-D) \right] &= e^{-sD} F(s) \\ \mathcal{L}^{-1}\left[ e^{-sD} F(s) \right] &= f(t-D) \cdot u_s(t-D) \end{aligned} \]

\[\dot{x} + 2 x = 3 u_s(t) - 3 u_s(t-2.5)\] Solve for \(x(t)\) when \(f(t)\) is as shown to the left, i.e., a pulse of height \(3\) and duration \(2.5\)

Next, we approach \(\dot{x} + 2 x = -3 u_s(t-2.5)\)
Applying Laplace Transforms, we get \[ sX(s) + 2 X(s) = -\frac{3}{s}e^{-2.5s} \implies X(s) = \frac{1}{s+2} \frac{-3}{s} e^{-2.5s} \]
Which can be broken up into partial fractions \[ -\frac{3}{2} \frac{1}{s} e^{-2.5s} + \frac{3}{2} \frac{1}{s+2} e^{-2.5s} \]
Each of these can be brought back into the time domain by shifting some function to the right by \(2.5\) seconds. \[ \underbrace{-\frac{3}{2} \frac{1}{s}}_{\text{Shift this}} e^{-2.5s} + \underbrace{\frac{3}{2} \frac{1}{s+2}}_{\text{Shift this}} e^{-2.5s} \]
We read the highlighted terms off the table and find \[ \begin{aligned} \mathcal{L}^{-1} \left[ -\frac{3}{2} \frac{1}{s} \right] &= -\frac{3}{2} u_s(t) \\ \mathcal{L}^{-1} \left[ \frac{3}{2} \frac{1}{s+2} \right] &= \frac{3}{2} e^{-2t} \quad \text{when } t > 0 \end{aligned} \]
Then we shift the result to the right, term by term: \[ x(t) = {-\frac{3}{2} u_s(t-2.5)} + {\frac{3}{2} e^{-2(t-2.5)} u_s(t-2.5)} \]
We now have the response of the system to the other step function.




Consider the system \(\dot{x} + a x = f(t)\) where the input is \(f(t)\).
If the input is a step, \(f(t) = u_s(t)\) the output is called the step response: \[x(t) = \begin{cases} \displaystyle \frac{1 - e^{-at}}{a} & t > 0 \\ 0 & t < 0 \end{cases}\]
To obtain \(x(t)\) when the input is an impulse, \(f(t) = \delta(t)\),
differentiate the unit step response w.r.t time: \[x(t) = \begin{cases} \displaystyle e^{-a t} & t > 0 \\ 0 & t < 0 \end{cases}\] which is known as the impulse response
In-class task: What is the impulse response of the system below in terms of \(m\) and \(b\)?

Response of the system to a unit impulse applied at \(t = 0\):
\[ x(t) = \begin{cases} \displaystyle \frac{1}{m}e^{-t b / m} & t > 0 \\ 0 & t < 0 \end{cases} \]
Response of the system to a unit impulse applied at \(t = t_1\):
\[ x(t) = \begin{cases} \displaystyle \frac{1}{m}e^{-(t- t_1) b / m} & t > t_1 \\ 0 & t < t_1 \end{cases} \]
Consider the model \[m \dot{x} + b x = f(t), \quad v(0) = v_0 \neq 0\]
Let the force experienced by the object be a whack at a time \(t_1 > 0\).
Then, we can use the input \(f(t) = A \delta(t-t_1)\) where \(A\) is the area under the force-time curve.


In-class task: Write down a formula for the following function using superposition of 4 (shifted and scaled) ramp functions
\[f(t) = \begin{cases} u_s(t - D) c(t - D) & t > D \\ 0 & t < D \end{cases}\]


Consider the system \[m \dot{v} + b v = f_a(t)\] where \(v(t)\) is the output and \(f_a(t)\) the input.
\[ \begin{aligned} m s V(s) + b V(s) = F_a(s)& \\ V(s) = \frac{1}{ms + b} F_a(s)& \\ \implies \frac{V(s)}{F_a(s)} = \underbrace{\boxed{\frac{1}{m s + b}}}_{\text{Transfer Function}}& \end{aligned} \]
\[ \begin{aligned} m s V(s) + b V(s) &= \mathcal{L} \left[ \delta (t) \right] \\ m s V + b V &= 1 \\ \implies V(s) = \underbrace{\boxed{\frac{1}{ms+b}}}_{\text{Impulse Response}} \end{aligned} \]
Tip
The Transfer Function of a system is also the Laplace Transform of that system’s (unit) impulse response.
E12 • Spring 2026 • Lecture 7 • 2026-02-10