Chapter 4 System Analysis
© National Instruments Corporation 4-13 Xmath Control Design Module
Impulse Response of a SystemAn impulse input to a system is defined somewhat differently depending on
whether the system is discrete or continuous. For a continuous-time system,
an impulse is a unit-area signal of infinite amplitude and infinitely small
duration occurring at time t= 0, and having value zero at all other times.
For a discrete system, an impulse can be thought of as a physical pulse
which has unit amplitude at the first sample period and zero amplitude for
all other times.
The Laplace transform of the continuous-time impulse—often referred to
as δ(t)—is 1. Thus, the Laplace transform of a output of a system to a unit
impulse is merely its transfer function H(s), as discussed in the
Time-Domain Solution of System Equations section.
A similar definition, using the z-transform, can be made for the
discrete-time impulse response. However, the values of the impulse
response of a discrete system also have the property that they define the
Markov parameters for that system. Based on the state-space representation
of the system, these parameters are defined as the values
These parameters are uniquely determined by the transfer function of the
system [Kai80]:
and they also are the terms of the discrete impulse response.
impulse( )
y = impulse(Sys,t)
The impulse( ) function computes the impulse response of a dynamic
system. The time vector, t, is an optional input. If not specified, a default
time range will be computed using deftimerange( ). Refer to the
deftimerange( ) section. For a continuous-time system, the impulse
response is calculated at each point in the time vector. For a discrete
system, the first n Markov parameters are returned, where n is the length
of the time vector (which must be regularly spaced).
hiCAi1–Bi,12,…},={=
Hz() CzI A–()
1–Bh
izi–
i1=
∞
∑==