Hautus lemma

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Short description: Lemma in control theory

In control theory and in particular when studying the properties of a linear time-invariant system in state space form, the Hautus lemma (after Malo L. J. Hautus), also commonly known as the Popov-Belevitch-Hautus test or PBH test,[1][2] gives equivalent conditions for certain properties of control systems.

A special case of this result appeared first in 1963 in a paper by Elmer G. Gilbert,[1] and was later expanded to the current PBH test with contributions by Vasile M. Popov in 1966,[3][4] Vitold Belevitch in 1968,[5] and Malo Hautus in 1969,[5] who emphasized its applicability in proving results for linear time-invariant systems.

Statement

There exist multiple forms of the lemma:

Hautus Lemma for controllability

The Hautus lemma for controllability says that given a square matrix 𝐀∈Mn(ℜ) and a 𝐁∈Mn×m(ℜ) the following are equivalent:

  1. The pair (𝐀,𝐁) is controllable
  2. For all λ∈ℂ it holds that rank⁡[λ𝐈−𝐀,𝐁]=n
  3. For all λ∈ℂ that are eigenvalues of 𝐀 it holds that rank⁡[λ𝐈−𝐀,𝐁]=n

Hautus Lemma for stabilizability

The Hautus lemma for stabilizability says that given a square matrix 𝐀∈Mn(ℜ) and a 𝐁∈Mn×m(ℜ) the following are equivalent:

  1. The pair (𝐀,𝐁) is stabilizable
  2. For all λ∈ℂ that are eigenvalues of 𝐀 and for which ℜ(λ)≥0 it holds that rank⁡[λ𝐈−𝐀,𝐁]=n

Hautus Lemma for observability

The Hautus lemma for observability says that given a square matrix 𝐀∈Mn(ℜ) and a 𝐂∈Mm×n(ℜ) the following are equivalent:

  1. The pair (𝐀,𝐂) is observable.
  2. For all λ∈ℂ it holds that rank⁡[λ𝐈−𝐀;𝐂]=n
  3. For all λ∈ℂ that are eigenvalues of 𝐀 it holds that rank⁡[λ𝐈−𝐀;𝐂]=n

Hautus Lemma for detectability

The Hautus lemma for detectability says that given a square matrix 𝐀∈Mn(ℜ) and a 𝐂∈Mm×n(ℜ) the following are equivalent:

  1. The pair (𝐀,𝐂) is detectable
  2. For all λ∈ℂ that are eigenvalues of 𝐀 and for which ℜ(λ)≥0 it holds that rank⁡[λ𝐈−𝐀;𝐂]=n

References

Notes

  1. ↑ 1.0 1.1 Hespanha, Joao (2018). Linear Systems Theory (Second ed.). Princeton University Press. ISBN 9780691179575. 
  2. ↑ Bernstein, Dennis S. (2018). Scalar, Vector, and Matrix Mathematics: Theory, Facts, and Formulas (Revised and expanded ed.). Princeton University Press. ISBN 9780691151205. 
  3. ↑ Popov, Vasile Mihai (1966). Hiperstabilitatea sistemelor automate. Editura Academiei Republicii Socialiste România. 
  4. ↑ Popov, V.M. (1973). Hyperstability of Control Systems. Berlin: Springer-Verlag. 
  5. ↑ 5.0 5.1 Belevitch, V. (1968). Classical Network Theory. San Francisco: Holden–Day.