Sign in

username:

password:



Not a member?

Search Online Books



Search tips

Free Online Books

Chapters

Chapter Contents:

Search Introduction to Digital Filters

  

Book Index | Global Index


Would you like to be notified by email when Julius Orion Smith III publishes a new entry into his blog?

  

Poles of a State Space Filter

In this section, we show that the poles of a state-space model are given by the eigenvalues of the state-transition matrix $ A$.

Beginning again with the transfer function of the general state-space model,

$\displaystyle H(z) = D + C \left(zI - A\right)^{-1}B,
$

we may first observe that the poles of $ H(z)$ are either the same as or some subset of the poles of

$\displaystyle H_p(z) \isdef \left(zI - A\right)^{-1}.
$

(They are the same when all modes are controllable and observable [37].) By Cramer's rule for matrix inversion, the denominator polynomial for $ \left(zI - A\right)^{-1}$ is given by the determinant

$\displaystyle D(z) \isdef \det(zI - A)
$

where $ \det(Q)$ denotes the determinant of the square matrix $ Q$. (The determinant of $ Q$ is also often written $ \left\vert Q\right\vert$.) In linear algebra, the polynomial $ D(z) = \left\vert zI-A\right\vert$ is called the characteristic polynomial for the matrix $ A$. The roots of the characteristic polynomial are called the eigenvalues of $ A$.

Thus, the eigenvalues of the state transition matrix $ A$ are the poles of the corresponding linear time-invariant system. In particular, note that the poles of the system do not depend on the matrices $ B,C,D$, although these matrices, by placing system zeros, can cause pole-zero cancellations (unobservable or uncontrollable modes).


Order a Hardcopy of Introduction to Digital Filters

Previous: Transposition of a State Space Filter
Next: Difference Equations to State Space

written by 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.


Comments


No comments yet for this page


Add a Comment
You need to login before you can post a comment (best way to prevent spam). ( Not a member? )