Hautus lemma

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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] can prove to be a powerful tool.

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 𝐀Mn() and a 𝐁Mn×m() the following are equivalent:

  1. The pair (𝐀,𝐁) is controllable
  2. For all λβ„‚ it holds that rank[λπˆπ€,𝐁]=n
  3. For all λβ„‚ that are eigenvalues of 𝐀 it holds that rank[λπˆπ€,𝐁]=n

Hautus Lemma for stabilizability

The Hautus lemma for stabilizability says that given a square matrix 𝐀Mn() and a 𝐁Mn×m() the following are equivalent:

  1. The pair (𝐀,𝐁) is stabilizable
  2. For all λβ„‚ that are eigenvalues of 𝐀 and for which (λ)0 it holds that rank[λπˆπ€,𝐁]=n

Hautus Lemma for observability

The Hautus lemma for observability says that given a square matrix 𝐀Mn() and a 𝐂Mm×n() the following are equivalent:

  1. The pair (𝐀,𝐂) is observable.
  2. For all λβ„‚ it holds that rank[λπˆπ€;𝐂]=n
  3. For all λβ„‚ that are eigenvalues of 𝐀 it holds that rank[λπˆπ€;𝐂]=n

Hautus Lemma for detectability

The Hautus lemma for detectability says that given a square matrix 𝐀Mn() and a 𝐂Mm×n() the following are equivalent:

  1. The pair (𝐀,𝐂) is detectable
  2. For all λβ„‚ that are eigenvalues of 𝐀 and for which (λ)0 it holds that rank[λπˆπ€;𝐂]=n

References

Notes