Hautus lemma explained

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, and was later expanded to the current PHB test with contributions by Vasile M. Popov in 1966,[3] [4] Vitold Belevitch in 1968,[5] and Malo Hautus in 1969, 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\inMn(\Re)

and a

B\inMn x (\Re)

the following are equivalent:
  1. The pair

(A,B)

is controllable
  1. For all

λ\inC

it holds that

\operatorname{rank}[λI-A,B]=n

  1. For all

λ\inC

that are eigenvalues of

A

it holds that

\operatorname{rank}[λI-A,B]=n

Hautus Lemma for stabilizability

The Hautus lemma for stabilizability says that given a square matrix

A\inMn(\Re)

and a

B\inMn x (\Re)

the following are equivalent:
  1. The pair

(A,B)

is stabilizable
  1. For all

λ\inC

that are eigenvalues of

A

and for which

\Re(λ)\ge0

it holds that

\operatorname{rank}[λI-A,B]=n

Hautus Lemma for observability

The Hautus lemma for observability says that given a square matrix

A\inMn(\Re)

and a

C\inMm x (\Re)

the following are equivalent:
  1. The pair

(A,C)

is observable.
  1. For all

λ\inC

it holds that

\operatorname{rank}[λI-A;C]=n

  1. For all

λ\inC

that are eigenvalues of

A

it holds that

\operatorname{rank}[λI-A;C]=n

Hautus Lemma for detectability

The Hautus lemma for detectability says that given a square matrix

A\inMn(\Re)

and a

C\inMm x (\Re)

the following are equivalent:
  1. The pair

(A,C)

is detectable
  1. For all

λ\inC

that are eigenvalues of

A

and for which

\Re(λ)\ge0

it holds that

\operatorname{rank}[λI-A;C]=n

References

Notes

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