This paper introduces a new Matlab package, RACT, aimed at solving a class of probabilistic analysis and synthesis problems arising in control. The package offers a convenient way for defining various types of structured uncertainties as well as formulating and analyzing the ensuing robustness analysis tasks from a probabilistic point of view. It also provides a full-featured framework for LMI-formulated probabilistic synthesis problems, which includes sequential probabilistic methods as well as scenario methods for robust design. The RACT package is freely available at http://ract.sourceforge.net, and only requires the YALMIP toolbox to be installed in the Matlab environment.
RACT: Randomized Algorithms Control Toolbox for MATLAB / Calafiore, Giuseppe Carlo; F., Dabbene; E., Gryazina; B. T., Polyak; P. S., Shcherbakov; R., Tempo; A., Tremba. - STAMPA. - (2008). (Intervento presentato al convegno 17th IFAC World Congress tenutosi a Seoul nel 6-11 July 2008) [10.3182/20080706-5-KR-1001.00066].
RACT: Randomized Algorithms Control Toolbox for MATLAB
CALAFIORE, Giuseppe Carlo;
2008
Abstract
This paper introduces a new Matlab package, RACT, aimed at solving a class of probabilistic analysis and synthesis problems arising in control. The package offers a convenient way for defining various types of structured uncertainties as well as formulating and analyzing the ensuing robustness analysis tasks from a probabilistic point of view. It also provides a full-featured framework for LMI-formulated probabilistic synthesis problems, which includes sequential probabilistic methods as well as scenario methods for robust design. The RACT package is freely available at http://ract.sourceforge.net, and only requires the YALMIP toolbox to be installed in the Matlab environment.Pubblicazioni consigliate
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https://hdl.handle.net/11583/1664810
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