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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: Currencies * Brazilian real (R$) * Central American Republic real * Mexican real * Portuguese real * Spanish real * Spanish colonial real Music Albums * ''Real'' (L'Arc-en-Ciel album) (2000) * ''Real'' (Bright album) (201 ...
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 ::f(z) = a_0 z^n + a_1 z^ + \cdots + a_n \, (a_0 > 0) to have negative real parts (i.e. f is Hurwitz stable) is that :: \Delta_1 > 0,\, \Delta_2 > 0, \ldots, \Delta_n > 0, where \Delta_i is the ''i''-th leading principal minor of the Hurwitz matrix associated with f. Using the same notation as above, the Liénard–Chipart criterion is that f is Hurwitz stable if and only if any one of the four conditions is satisfied: # a_n>0,a_>0, \ldots;\, \Delta_>0,\Delta_3>0,\ldots # a_n>0,a_>0, \ldots;\, \Delta_>0,\Delta_4>0,\ldots # a_n>0,a_>0,a_ >0, \ldots;\, \Delta_1>0,\Delta_3>0,\ldots # a_n>0,a_>0,a_ >0, \ldots;\, \Delta_2>0,\Delta_4>0,\ldots 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 \Delta_1>0 is never needed to be checked): a_n>0,a_>0, a_>0, a_>0, \ldots; \Delta_>0,\Delta_>0,\Delta_>0,\ldots,\. This means if n is even, the second line ends in \Delta_3>0 and if n is odd, it ends in \Delta_2>0 and so this is just 1. condition for odd n and 4. condition for even n from above. The first line always ends in a_n, but a_>0 is also needed for even n.


References


External links

* Stability theory {{applied-math-stub