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In a transfer function, when the highest power of s appears only in the denominator and that power is one, the system is a first-order system. A standard, widely used canonical form of a stable first-order linear time-invariant (LTI) system transfer function is
G(s) = K / (τ s + 1)
where K is the steady-state (DC) gain and τ (often written as T) is the time constant. The time constant characterises how quickly the system responds: a smaller τ gives a faster response; a larger τ gives a slower response. By definition, the time constant τ is the time required for the response to a unit step to reach approximately 63.2% of its final (steady-state) value.

Consider the system with transfer function G(s) = K / (τ s + 1) and a unit step input r(t) = u(t). The Laplace transform of the unit step is R(s) = 1/s. The output Y(s) is
Y(s) = G(s) · R(s)
Y(s) = K / (τ s + 1) · 1/s


Use partial fraction expansion to express Y(s) in terms whose inverse Laplace transforms are standard.
Y(s) = K / [s(τ s + 1)]
Assume
Y(s) = A/s + B/(τ s + 1)
Multiply both sides by s(τ s + 1) to find constants
K = A(τ s + 1) + B s
Equate coefficients of like powers of s:
Coefficient of s: 0 = A τ + B
Constant term: K = A
Thus A = K and B = -K τ.

Therefore
Y(s) = K/s - Kτ/(τ s + 1)



Taking inverse Laplace term by term gives the time-domain response
y(t) = K [1 - e(-t/τ)] · u(t)
For the common unity-gain case (K = 1) the response simplifies to
y(t) = 1 - e(-t/τ)
At t = τ, y(τ) = 1 - e(-1) ≈ 0.632 × final value, which is the origin of the 63.2% definition of the time constant.
Practical timing measures for first-order systems
The following approximate relations are useful in design and analysis:


Let the input be a unit ramp r(t) = t · u(t). Its Laplace transform is R(s) = 1 / s2. For the same forward transfer function G(s) = K / (τ s + 1), the output is
Y(s) = G(s) · R(s) = K / (τ s + 1) · 1 / s2

Perform partial fraction expansion of Y(s):
Y(s) = K / [s2(τ s + 1)]
Assume
Y(s) = A/s + B/s2 + C/(τ s + 1)
Multiply both sides by s2(τ s + 1) and equate coefficients to solve for A, B, C.
Result (after equating coefficients):
B = K
A = -K τ
C = K τ2
So
Y(s) = -K τ / s + K / s2 + K τ2 / (τ s + 1)


Take inverse Laplace term by term to obtain y(t):
y(t) = -K τ + K t + K τ e(-t/τ)
Rearrange
y(t) = K t - K τ [1 - e(-t/τ)]


Define the tracking error e(t) = r(t) - y(t). For r(t) = t,
e(t) = t - [K t - K τ + K τ e(-t/τ)]
e(t) = (1 - K) t + K τ [1 - e(-t/τ)]
For the unity forward-gain case (K = 1), the transient term proportional to t cancels and the error reduces to
e(t) = τ [1 - e(-t/τ)]
The steady-state error as t → ∞ is therefore
ess = τ (for K = 1)
Thus, for a first-order system without an integrator in the forward path, the steady-state error to a unit ramp is finite and equals the time constant τ (in the unity-gain forward path case). A smaller τ gives a smaller steady-state ramp error.
For a unit impulse input r(t) = δ(t), the Laplace transform is R(s) = 1. The output transform is
Y(s) = G(s) · R(s) = K / (τ s + 1)

Take inverse Laplace:
y(t) = (K / τ) e(-t/τ) · u(t)

This is the impulse response of the first-order system. The impulse response magnitude at t = 0+ is K/τ and then decays exponentially with time constant τ.
A stable first-order LTI system with transfer function G(s) = K/(τ s + 1) shows simple exponential behaviour for canonical inputs:
Key practical design points:
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| 3. What is the nature of the response of a first-order system to a unit impulse input? | ![]() |
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