Cross Gramian Explained

In control theory, the cross Gramian (

WX

, also referred to by

WCO

) is a Gramian matrix used to determine how controllable and observable a linear system is.[1] [2]

For the stable time-invariant linear system

x

=Ax+Bu

y=Cx

the cross Gramian is defined as:

WX:=

infty
\int
0

eAtBCeAtdt

and thus also given by the solution to the Sylvester equation:

AWX+WXA=-BC

This means the cross Gramian is not strictly a Gramian matrix, since it is generally neither positive semi-definite nor symmetric.

The triple

(A,B,C)

is controllable and observable, and hence minimal, if and only if the matrix

WX

is nonsingular, (i.e.

WX

has full rank, for any

t>0

).

If the associated system

(A,B,C)

is furthermore symmetric, such that there exists a transformation

J

with

AJ=JAT

B=JCT

then the absolute value of the eigenvalues of the cross Gramian equal Hankel singular values:[3]

|λ(WX)|=\sqrt{λ(WCWO)}.

Thus the direct truncation of the Eigendecomposition of the cross Gramian allows model order reduction (see http://modelreduction.org) without a balancing procedure as opposed to balanced truncation.

The cross Gramian has also applications in decentralized control, sensitivity analysis, and the inverse scattering transform.[4] [5]

See also

Notes and References

  1. Book: Fortuna. Luigi. Frasca. Mattia. Optimal and Robust Control: Advanced Topics with MATLAB. 29 April 2013. 2012. CRC Press. 9781466501911. 83–.
  2. Book: Athanasios C. Antoulas. Antoulas. Athanasios C.. Approximation of Large-Scale Dynamical Systems. 2005. SIAM. 9780898715293. 10.1137/1.9780898718713. 117896525 .
  3. Fernando. K.. Nicholson. H.. February 1983. On the structure of balanced and other principal representations of SISO systems. IEEE Transactions on Automatic Control. 28. 2. 228–231. 10.1109/tac.1983.1103195. 0018-9286.
  4. Himpe. C.. 2018. emgr -- The Empirical Gramian Framework. Algorithms. 11. 7. 91. 10.3390/a11070091. free. 1611.00675.
  5. Blower. G.. Newsham. S.. 2021. Tau functions for linear systems. Operator Theory Advances and Applications: IWOTA Lisbon 2019.