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Hurwitz matrix
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(Definition)
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A square matrix $A$ is called a Hurwitz matrix if all eigenvalues of $A$ have strictly negative real part, $Re[\lambda_i] < 0$ $A$ is also called a stability matrix, because the feedback system $$ \dot x = A x $$ is stable.
If $G(s)$ is a (matrix-valued) transfer function, then $G$ is called Hurwitz if the poles of all elements of $G$ have negative real part. Note that it is not necessary that $G(s)$ for a specific argument $s$ be a Hurwitz matrix -- it need not even be square. The connection is that if
$A$ is a Hurwitz matrix, then the dynamical system \begin{eqnarray*} \dot x(t) &=& A x(t) + B u(t) \\ y(t) &=& C x(t) + D u(t) \end{eqnarray*}has a Hurwitz transfer function.
Reference: Hassan K. Khalil, Nonlinear Systems, Prentice Hall, 2002
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"Hurwitz matrix" is owned by lha.
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| Also defines: |
Hurwitz transfer function, stability matrix |
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Cross-references: reference, dynamical system, square, even, argument, necessary, poles, transfer function, stable, real part, negative, strictly, eigenvalues, square matrix
This is version 1 of Hurwitz matrix, born on 2003-10-17.
Object id is 5395, canonical name is HurwitzMatrix.
Accessed 10972 times total.
Classification:
| AMS MSC: | 93D99 (Systems theory; control :: Stability :: Miscellaneous) |
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Pending Errata and Addenda
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