UD-factored algorithms discrete-time optimal compensation

UD-factorization of algorithms for optimal output feedback control of stochastic parameter systems
207 Downloads
Aktualisiert 13. Sep 2025

Lizenz anzeigen

U-D factored computation of optimal full and
reduced-order compensators (output-feedback controllers)
for linear discrete-time systems with white stochastic parameters
with possibly non-zero M,Y (cross term cost function & cross covariance)
Associated with the papers:
[1] L.G. Van Willigenburg, W.L. De Koning, 2016,
"Improvements and corrections concerning UD factorisations of
algorithms for optimal full and reduced-order output feedback"
Journal of Control Engineering and Technology, 6, 2, 14-18.
Download paper including the originals of [2], [3] below:
https://gvw007.yolasite.com/resources/JCET-2016-Total.pdf
[2] L.G. Van Willigenburg, W.L. De Koning, 2013,
"Minimal representation of matrix valued white stochastic processes
and U-D factorization of algorithms for optimal control",
International Journal of Control, 86, 2, 309-321.
Download improved version of the paper:
https://gvw007.yolasite.com/resources/IJC2013-EqRepUDCompU1.pdf
[3] L.G. Van Willigenburg, W.L. De Koning, 2014,
"U-D factorization of the strengthened discrete-time optimal
projection equations", International Journal of System Science,
https://dx.doi.org/10.1080/00207721.2014.911388
Download improved version of the paper:
https://gvw007.yolasite.com/resources/TSYS2014U.pdf

Zitieren als

Gerard Van Willigenburg (2025). UD-factored algorithms discrete-time optimal compensation (https://de.mathworks.com/matlabcentral/fileexchange/50103-ud-factored-algorithms-discrete-time-optimal-compensation), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2011b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu State-Space Control Design and Estimation finden Sie in Help Center und MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Veröffentlicht Versionshinweise
1.5.0.1

Updated links

1.5.0.0

Version number 1.5 corrected
Links to papers updated

1.4.0.0

The updated version now handles correctly non-zero M,Y.
Originally the algorithms did not although the associated
papers suggested they did. All this is explained and resolved in [1].
Another update of the links to the papers

1.3.0.0

Links to papers mentioned in description updated

1.2.0.0

m-files have been extended with an error message if a cross term M is present in the quadratic cost function and if a cross covariance Y is specified between the system and measurement noise. U-D factorized algorithms cannot handle these.

1.1.0.0

Summary updated

1.0.0.0