Control systemsLesson 1 of 3 in the course Stability analysis

Routh–Hurwitz Stability: Root Counts, Array Construction, and Special Cases

5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English

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Summary

This lesson introduces the stability question that the Routh–Hurwitz criterion answers and explains the connection between system behavior and polynomial roots.

A linear time-invariant (LTI) system is commonly analyzed through its characteristic polynomial. Its roots, also called poles in control applications, determine the time-dependent modes of the system. A root pp contributes a solution term proportional to epte^{pt}.

All flashcards

What is a Hurwitz polynomial?
A polynomial whose roots all have strictly negative real parts.
How does a characteristic root relate to a continuous-time system mode?
A simple root pp corresponds to an exponential component epte^{pt}; repeated roots can also produce polynomial factors in time.
What does the Routh–Hurwitz criterion test?
Whether a continuous-time characteristic polynomial has all roots in the open left half-plane, using coefficient-based calculations.
How do the Routh and Hurwitz methods differ in form?
Routh uses a recursive array and first-column signs; Hurwitz uses a coefficient matrix and leading principal determinants.
Name two tests used for discrete-time stability.
Examples include the Schur–Cohn criterion and the Jury test.

Quiz questions

  1. For a regular Routh array with no exceptional zero cases, what do first-column sign changes count?Answer: Roots in the right half-plane.
  2. In a Routh array, a row begins with zero but has other nonzero entries. What standard procedure allows the calculation to continue?Answer: Replace the leading zero temporarily with ε>0\varepsilon>0, then take the limit as ε→0+\varepsilon\to0^+.
  3. When an entire Routh-array row is zero, how is the auxiliary polynomial used to continue the procedure?Answer: Form it from the row above, differentiate it, and use the derivative coefficients.
  4. For a third-order polynomial a3s3+a2s2+a1s+a0a_3s^3+a_2s^2+a_1s+a_0 with positive leading coefficient, which additional inequality is required for strict stability?Answer: a2a1−a3a0>0a_2a_1-a_3a_0>0.
  5. How is a generalized Sturm chain generated from the real polynomials P0(y)P_0(y) and P1(y)P_1(y)?Answer: By successive Euclidean divisions that produce a sequence of remainders.

Based on the Wikipedia article Routh–Hurwitz stability criterion, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.

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