In
control system theory, the Liénard–Chipart criterion is a
stability criterion modified from the
Routh–Hurwitz stability criterion
In control system theory, the Routh–Hurwitz stability criterion is a mathematical test that is a necessary and sufficient condition for the stability of a linear time-invariant (LTI) dynamical system or control system. A stable system is one ...
, proposed by
A. Liénard and M. H. Chipart.
This criterion has a computational advantage over the Routh–Hurwitz criterion because it involves only about half the number of
determinant
In mathematics, the determinant is a scalar value that is a function of the entries of a square matrix. It characterizes some properties of the matrix and the linear map represented by the matrix. In particular, the determinant is nonzero if ...
computations.
Algorithm
The Routh–Hurwitz stability criterion says that a
necessary and sufficient
In logic and mathematics, necessity and sufficiency are terms used to describe a conditional or implicational relationship between two statements. For example, in the conditional statement: "If then ", is necessary for , because the truth of ...
condition for all the
roots of the
polynomial
In mathematics, a polynomial is an expression consisting of indeterminates (also called variables) and coefficients, that involves only the operations of addition, subtraction, multiplication, and positive-integer powers of variables. An ex ...
with
real
Real may refer to:
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* ''Real'' (L'Arc-en-Ciel album) (2000)
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coefficient
In mathematics, a coefficient is a multiplicative factor in some term of a polynomial, a series, or an expression; it is usually a number, but may be any expression (including variables such as , and ). When the coefficients are themselves ...
s
::
to have negative real parts (i.e.
is Hurwitz
stable) is that
::
where
is the ''i''-th
leading principal minor of the
Hurwitz matrix associated with
.
Using the same notation as above, the Liénard–Chipart criterion is that
is Hurwitz stable if and only if any one of the four conditions is satisfied:
#
#
#
#
Hence one can see that by choosing one of these conditions, the number of determinants required to be evaluated is reduced.
Alternatively Fuller formulated this as follows for (noticing that
is never needed to be checked):
This means if n is even, the second line ends in
and if n is odd, it ends in
and so this is just 1. condition for odd n and 4. condition for even n from above. The first line always ends in
, but
is also needed for even n.
References
External links
*
Stability theory
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