Toolboxes
Robust Modal Control Toolbox (RMCT) for MatlabFor a presentation of the toolbox, see the book section. The user manual is a book. An overview of the basic theory behind multimodel design is available on line in two papers paper 1, and paper 2. The use of this toolbox for controller structuring and controller order reduction is illustrated in a set of slides.The toolbox is not available for download as it is shipped with the aforementioned book. However, a similar Scilab version is available (see below).
Robust Modal Control Toolbox (RMCT) for ScilabThis toolbox is similar to the Matlab version (same syntax) however it is not so thoroughly tested and some functions are based on less reliable tools (e.g., quadratic programming). See the above Matlab section.
Linear Fractional Representation Toolbox (LFRT) for MatlabFor a presentation of the toolbox, see the book section. Version 1.31 is not removed from this page because this toolbox contains some functions for feedback analysis and synthesis that are not ported to version 2.0. Version 2.0 introduces a much more sophisticated LFR-object, for example, uncertainties are no longer ordered but recognized by their names, it is now possible invert an LFR-object with singular nominal value and so on. Versions 1.31 and 2.0 are not compatible.
Linear Fractional Representation Toolbox (LFRT) for ScilabVersion 2.0 for Scilab. This is a translation to Scilab of the above toolbox excluding all the functions depending on µ-analysis. The symbolic tools of the Matlab version have a more or less equivalent counterpart using the Symbolic Toolbox presented here. This toolbox ports to Scilab the objects for uncertain system representation introduced in version 3 of the Matlab Robust Control Toolbox (ureal, ucomplex, ss).
Symbolic Toolbox and overloading module for ScilabThis is a preliminary version of a Symbolic Toolbox for Scilab based on Maxima. Its development is stopped as long as a fastest communication procedure between Scilab and Maxima is not available. You must have Scilab version 4.0 or higher, Maxima version 5.9.3 or higher and Perl installed. This toolbox depends also on the overloading module ("file 1" below) used for overloading functions.
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