LqrSim

Algebraic Riccati equation solution in Simulink via C and FORTRAN
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Aktualisiert 18. Sep 2023

simulink-riccati-solver

Algebraic Riccati equation solution in Simulink via C and FORTRAN

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This s-function solves Riccati equations in Simulink® without calling MATLAB® it is fast and supports code generation.

Specifically, the s-function is a level-2 gateway that calls several FORTRAN routines written by Arnold and Laub in the early eighties and publicly available under the cascade sublibrary of netlib. FORTRAN code is included in the Readme file, along with further instructions on how to compile and link the s-function.

Giampiero Campa, October 2002 and January 2009,

Riccardo Bevilacqua & Jason Hall, NPS Spacecraft Robotics Lab, October 2008

Zitieren als

Giampiero Campa (2024). LqrSim (https://github.com/giampy1969/simulink-riccati-solver/releases/tag/v1.3.1), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2008a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
1.3.1

See release notes for this release on GitHub: https://github.com/giampy1969/simulink-riccati-solver/releases/tag/v1.3.1

1.3.0.0

Fully converted to BSD License

1.2.0.0

Many thanks to Jason Hall and Riccardo Bevilacqua for your excellent job in enabling native matrices inputs to the block and
using the open source g77 FORTRAN compiler to create mex files and RTW binaries under both Windows and Linux.

1.1.0.0

This version works with MATLAB 7.6 (R2008a), uses native matrix signals, is re-mexable on every platform, and is better integrated with real time workshop (Thanks Jason & Riccardo).

1.0.0.0

Recompiled mex files with matlab 7.1 so that everything works fine with newer versions requiring the .mexw32 extension. The .dll files are retained to the benefit users working with versions prior to 7.1, other users may delete them.

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.