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R-RoMulOC | Randomized and Robust Multi-Objective Control toolbox | |
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Latest releaseR20160826 - August 26, 2016
Update to include new versions of scenario approach (including sequential scenario) in the randomized tools. Also includes randomized analysis of impulse-to-peak performance.
This release has been tested on industrial examples of medium size. Still, it may contain bugs. Please send feedback comments for improvements.
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InstallTo install, delete any old RoMulOC directory, unzip the downloaded file, and update your path: >> addpath whereIputTHEdirectory/romuloc/library >> addpath whereIputTHEdirectory/romuloc/fromRACT If you have used RoMulOC before, type or restart Matlab before using the new version. When this is done, most of the RoMulOC functions should work except for the essential ones that need to install YALMIP and at least one SDP solver among those listed here. The solvers should be installed as described in the solver manuals. Make sure to add required paths. To test your installation, run the commands and |
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Previous releases
[R20160826] - Updated scenario and sequential scenario approaches for solving robust LMIs. |
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projects.laas.fr/OLOCEP/rromuloc - last update 21-Dec-2013 |