Hurwitz matrix

E714449

The Hurwitz matrix is a structured matrix constructed from the coefficients of a polynomial and used to determine system stability in control theory via the Routh–Hurwitz criterion.

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Predicate Object
instanceOf concept in control theory
concept in linear systems theory
matrix
structured matrix
appearsIn classical control theory textbooks
courses on linear systems and control
appliesTo characteristic polynomials of dynamical systems
real-coefficient polynomials
associatedWith linear time-invariant differential equations
transfer functions in control systems
basedOn coefficients of a polynomial
constructedFrom even-indexed coefficients of a polynomial
odd-indexed coefficients of a polynomial
ordered coefficients of a polynomial
criterionFor all roots of a polynomial having negative real parts
describesProperty Hurwitz stability of a polynomial
field applied mathematics
control engineering
systems and control
generalizationOf Hurwitz determinants for higher-degree polynomials NERFINISHED
hasAlternativeName Hurwitz stability matrix NERFINISHED
hasProperty entries are polynomial coefficients or zeros
principal minors encode stability information
size depends on the degree of the polynomial
hasPurpose to determine stability of a linear system
to test whether all roots of a polynomial lie in the open left half-plane
matrixType Toeplitz-like matrix
square matrix
namedAfter Adolf Hurwitz NERFINISHED
relatedConcept Jury stability criterion NERFINISHED
Nyquist stability criterion NERFINISHED
Routh–Hurwitz theorem NERFINISHED
root locus method
relatedTo Hurwitz determinant
Hurwitz stability criterion NERFINISHED
Lyapunov stability NERFINISHED
Routh array NERFINISHED
characteristic equation of a linear system
usedBy applied mathematicians
control engineers
systems theorists
usedFor algebraic stability tests without computing roots
checking necessary and sufficient conditions for stability
computing Hurwitz determinants
usedIn Routh–Hurwitz stability criterion NERFINISHED
control theory
polynomial stability tests
stability analysis of linear time-invariant systems

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