Chaos synchronization based on unknown input proportional multiple-integral fuzzy observer

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dc.contributor.authorYoussef, T.
dc.contributor.authorChadli, M.
dc.contributor.authorKarimi, R. M.
dc.contributor.authorZelmat, M.
dc.date.accessioned2015-04-09T14:02:48Z
dc.date.available2015-04-09T14:02:48Z
dc.date.issued2013
dc.description.abstractThis paper presents an unknown input Proportional Multiple-Integral Observer (PIO) for synchronization of chaotic systems based on Takagi-Sugeno (TS) fuzzy chaotic models subject to unmeasurable decision variables and unknown input. In a secure communication configuration, this unknown input is regarded as a message encoded in the chaotic system and recovered by the proposed PIO. Both states and outputs of the fuzzy chaotic models are subject to polynomial unknown input with kth derivative zero. Using Lyapunov stability theory, sufficient design conditions for synchronization are proposed. The PIO gains matrices are obtained by resolving linear matrix inequalities (LMIs) constraints. Simulation results show through two TS fuzzy chaotic models the validity of the proposed methoden_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/jspui/handle/123456789/237
dc.language.isoenen_US
dc.publisherHindawien_US
dc.relation.ispartofseriesAbstract and Applied Analysis;p.p. 1-11
dc.subjectMultiple-Integral Observeren_US
dc.subjectSynchronizationen_US
dc.subjectUnknown inputen_US
dc.titleChaos synchronization based on unknown input proportional multiple-integral fuzzy observeren_US
dc.typeArticleen_US

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