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  2. Routh–Hurwitz stability criterion - Wikipedia

    en.wikipedia.org/wiki/RouthHurwitz_stability...

    In the control system theory, the Routh–Hurwitz stability criterion is a mathematical test that is a necessary and sufficient condition for the stability of a linear time-invariant (LTI) dynamical system or control system. A stable system is one whose output signal is bounded; the position, velocity or energy do not increase to infinity as ...

  3. Routh–Hurwitz theorem - Wikipedia

    en.wikipedia.org/wiki/RouthHurwitz_theorem

    Thus the theorem provides a mathematical test, the Routh–Hurwitz stability criterion, to determine whether a linear dynamical system is stable without solving the system. The Routh–Hurwitz theorem was proved in 1895, and it was named after Edward John Routh and Adolf Hurwitz.

  4. Stability criterion - Wikipedia

    en.wikipedia.org/wiki/Stability_criterion

    Liénard–Chipart criterion; Nyquist stability criterion; Routh–Hurwitz stability criterion; Vakhitov–Kolokolov stability criterion; Barkhausen stability criterion; Stability may also be determined by means of root locus analysis. Although the concept of stability is general, there are several narrower definitions through which it may be ...

  5. Stability theory - Wikipedia

    en.wikipedia.org/wiki/Stability_theory

    Application of this result in practice, in order to decide the stability of the origin for a linear system, is facilitated by the Routh–Hurwitz stability criterion. The eigenvalues of a matrix are the roots of its characteristic polynomial .

  6. Derivation of the Routh array - Wikipedia

    en.wikipedia.org/wiki/Derivation_of_the_Routh_array

    The Routh array is a tabular method permitting one to establish the stability of a system using only the coefficients of the characteristic polynomial.Central to the field of control systems design, the Routh–Hurwitz theorem and Routh array emerge by using the Euclidean algorithm and Sturm's theorem in evaluating Cauchy indices.

  7. Liénard–Chipart criterion - Wikipedia

    en.wikipedia.org/wiki/Liénard–Chipart_criterion

    The Routh–Hurwitz stability criterion says that a necessary and sufficient condition for all the roots of the polynomial with real coefficients = + + +, >to have negative real parts (i.e. f is Hurwitz stable) is that

  8. Stable polynomial - Wikipedia

    en.wikipedia.org/wiki/Stable_polynomial

    The Routh–Hurwitz theorem provides an algorithm for determining if a given polynomial is Hurwitz stable, which is implemented in the Routh–Hurwitz and Liénard–Chipart tests. To test if a given polynomial P (of degree d) is Schur stable, it suffices to apply this theorem to the transformed polynomial

  9. Kharitonov's theorem - Wikipedia

    en.wikipedia.org/wiki/Kharitonov's_theorem

    Kharitonov's theorem is a result used in control theory to assess the stability of a dynamical system when the physical parameters of the system are not known precisely. When the coefficients of the characteristic polynomial are known, the Routh–Hurwitz stability criterion can be used to check if the system is stable (i.e. if all roots have negative real parts).