Randomized and Robust Multi-Objective Control toolbox.
This toolbox is intended to gather multiple theoretical results obtained these past years in Robust Control and Randomized Methods. The aim is to have some simple functions for manipulating uncertain systems and building LMI optimization problems related to robust multi-objective control problems. Both deterministic and probabilistic methods are considered. The goal is not a commercial product but a platform for academic cooperative exchanges and possible demonstrations for small size application examples. Please do not hesitate to test RoMulOC and send feedback comments.
RoMulOC is developed by Dimitri Peaucelle with the help of several contributors : D. Arzelier, A. Bortott, G. Chevarria, M. Sevin, Ph. Spiesser. Its development is supported by the LAAS-CNRS as part of the OLOCEP project. The latest R-RoMulOC version includes randomized functionalities borrowed from RACT toolbox. Authors of these codes are Andrey Tremba, Giuseppe Calafiore, Fabrizio Dabbene, Elena Gryazina, Boris Polyak, Pavel Shcherbakov, Roberto Tempo. Some of these codes have been updated to fit with RoMulOC.