Purpose
To solve continuous-time Lyapunov equations
AX + XAT = BTB,
or discrete-time Lyapunov equations
ATXA - X = BT B,
where A is a stable n-by-n matrix (continuous-time: all eigenvalues in the open left half plane;
discrete-time: all eigenvalues in the open unit disk)
and B is an n-by-m matrix.
Block variants of Hammarling's method
file lrlyap.f (requires subroutine lraux1.f)
Solves reduced continuous- and discrete-time Lyapunov equations in
factorized form.
This is a more efficient block variant of the SLICOT routines
SB03OT and SB03OU.
Test routine: tlrlyap.f
Test data: lrlyap1.dat lrlyap1.res
lrlyap2.dat lrlyap2.res
lrlyap3.dat lrlyap3.res
lrlyap4.dat lrlyap4.res
Warning: To compile any of the files above you need the SLICOT
routines SB03OY, SB03OV, and SB04PX.
file lrlyap_mex.f (precompiled Windows dll: lrlyap_mex.dll)
Mex interface to lrlyap for use within Matlab.
file lrlyapchol.m
Alternative to the Matlab control toolbox function lyapchol.
file lrdlyapchol.m
Alternative to the Matlab control toolbox function dlyapchol.
References
- [1]
-
S. Hammarling.
Numerical solution of the stable, nonnegative definite Lyapunov
equation.
IMA J. Numer. Anal., 2(3):303-323, 1982.
- [2]
- D. Kressner.
Block variants of Hammarling's method for solving Lyapunov equations. July 2006.
(Gzipped PostScript)
(PDF)
Related software
If it is affordable to factorize A, use LYAPACK. For solving various other types of small- to medium-sized
matrix equations, have a look at SLICOT and RECSY.
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