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.
There exist multiple forms of the lemma:
The Hautus lemma for controllability says that given a square matrix
A\inMn(\Re)
B\inMn x (\Re)
(A,B)
λ\inC
\operatorname{rank}[λI-A,B]=n
λ\inC
A
\operatorname{rank}[λI-A,B]=n
The Hautus lemma for stabilizability says that given a square matrix
A\inMn(\Re)
B\inMn x (\Re)
(A,B)
λ\inC
A
\Re(λ)\ge0
\operatorname{rank}[λI-A,B]=n
The Hautus lemma for observability says that given a square matrix
A\inMn(\Re)
C\inMm x (\Re)
(A,C)
λ\inC
\operatorname{rank}[λI-A;C]=n
λ\inC
A
\operatorname{rank}[λI-A;C]=n
The Hautus lemma for detectability says that given a square matrix
A\inMn(\Re)
C\inMm x (\Re)
(A,C)
λ\inC
A
\Re(λ)\ge0
\operatorname{rank}[λI-A;C]=n