Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/4268
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dc.contributor.authorMohamed Boumehraz-
dc.contributor.authorKhier Benmahammed-
dc.date.accessioned2014-11-25T08:33:35Z-
dc.date.available2014-11-25T08:33:35Z-
dc.date.issued2014-11-25-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/4268-
dc.description.abstractThis paper presents a Lyapunov-based switching controller design method for non-linear systems using Takagi-Sugeno fuzzy models. The basic idea of the proposed approach is to represent the fuzzy model as a set of uncertain linear systems. The controller is obtained by solving the corresponding set of Algebraic Ricatti Equations (AREs). A simulation example is given to illustrate the effectiveness of this approach.en_US
dc.language.isoenen_US
dc.subjectswitching control; fuzzy systems; uncertain systemen_US
dc.titleNon-linear systems control via fuzzy models: a multicontroller approachen_US
dc.typeArticleen_US
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