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State Space Models
Equations of motion for any physical system
may be conveniently
formulated in terms of the state of the system [330]:
![$\displaystyle \underline{{\dot x}}(t) = f_t[\underline{x}(t),\underline{u}(t)] \protect$](http://www.dsprelated.com/josimages_new/pasp/img202.png) |
(2.6) |
Here,

denotes the
state
of the system at time

,

is a vector of
external
inputs (typically
forces), and the general vector function

specifies how the current state

and inputs

cause a
change in the state at time

by affecting its time derivative

. Note that the function

may itself be time varying
in general. The model of Eq.

(
1.6) is extremely general for
causal physical systems. Even the functionality of the human brain is
well cast in such a form.
Equation (1.6) is diagrammed in Fig.1.4.
The key property of the state vector
in this formulation is
that it completely determines the system at time
, so that
future states depend only on the current state and on any inputs at
time
and beyond.2.8 In particular, all past states and the
entire input history are ``summarized'' by the current state
.
Thus,
must include all ``memory'' of the system.
Subsections
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About the Author: Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at
Stanford's Center for Computer Research in Music and Acoustics (CCRMA), teaching courses and pursuing research related to signal processing applied to music and audio systems. See
http://ccrma.stanford.edu/~jos/ for details.