Hurwitz-stable matrix

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In mathematics, a Hurwitz-stable matrix,[1] or more commonly simply Hurwitz matrix,[2] is a square matrix whose eigenvalues all have strictly negative real part. Some authors also use the term stability matrix.[2] Such matrices play an important role in control theory.

Definition

A square matrix A is called a Hurwitz matrix if every eigenvalue of A has strictly negative real part, that is,

Re[λi]<0

for each eigenvalue λi. A is also called a stable matrix, because then the differential equation

x˙=Ax

is asymptotically stable, that is, x(t)0 as t. 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

x˙(t)=Ax(t)+Bu(t)
y(t)=Cx(t)+Du(t)

has a Hurwitz transfer function. Any hyperbolic fixed point (or equilibrium point) of a continuous dynamical system is locally asymptotically stable if and only if the Jacobian of the dynamical system is Hurwitz stable at the fixed point. The Hurwitz stability matrix is a crucial part of control theory. A system is stable if its control matrix is a Hurwitz matrix. The negative real components of the eigenvalues of the matrix represent negative feedback. Similarly, a system is inherently unstable if any of the eigenvalues have positive real components, representing positive feedback.

See also

References

  1. Duan, Guang-Ren; Patton, Ron J. (1998). "A Note on Hurwitz Stability of Matrices". Automatica. 34 (4): 509–511. doi:10.1016/S0005-1098(97)00217-3.
  2. 2.0 2.1 Khalil, Hassan K. (1996). Nonlinear Systems (Second ed.). Prentice Hall. p. 123.

This article incorporates material from Hurwitz matrix on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.

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