Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/1047
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dc.contributor.authorHouam, Yahia-
dc.date.accessioned2013-01-08T21:22:07Z-
dc.date.available2013-01-08T21:22:07Z-
dc.date.issued2013-01-08-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/1047-
dc.description.abstractIn this memory tow control methods are studied of systems. First, a multiobjective controller with linear matrix inequality LMI approach. Second, a multiobjective control genetic algorithm approach is developed and applied to the system of two mass and spring. The studied method attenuates the effect of both uncertainties and external disturbances, a simulation example is presented to illustrate the efficiency of the multiobjective control via Linear matrix inequality LMI and genetic algorithm.en_US
dc.language.isofren_US
dc.subjectmulti-objective optimizationen_US
dc.subjectgenetic algorithmen_US
dc.subjectoptimal controlen_US
dc.subjectrobust controlen_US
dc.subjectSemi-definite programming (SDP)en_US
dc.subjectLinear matrix inequality LMIen_US
dc.titleCommande Multi-Objectifs En Utilisant Les Inégalités Matricielles Linéaires (LMIs) Et Les Algorithmes Génétiquesen_US
dc.typeArticleen_US
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