Stable indirect fuzzy adaptive control

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dc.contributor.authorGoléa, N.
dc.contributor.authorGoléa, A.
dc.contributor.authorBenmahammed, K.
dc.date.accessioned2022-04-28T02:00:24Z
dc.date.available2022-04-28T02:00:24Z
dc.date.issued2003
dc.description.abstractThis paper investigates new fuzzy model-based observer adaptive control for multi-input multi-output continuous-time nonlinear systems. The proposed adaptive scheme uses Takagi–Seguno (TS) fuzzy models to estimate the plant states and dynamics. Using stability arguments, it is shown that the proposed scheme is globally asymptotically stable. The observation and tracking errors are shown to converge asymptotically to zero, despite the presence ofexternal disturbances and approximation errors. The performance ofthe developed approach is illustrated, by simulation, on two-link robot model.ar
dc.identifier.issn353–366
dc.identifier.urihttp://hdl.handle.net/123456789/13045
dc.language.isoenar
dc.publisherElsevierar
dc.subjectFuzzy controlar
dc.subjectFuzzy systems modelar
dc.subjectAdaptive controlar
dc.subjectObserverar
dc.subjectNonlinear systemsar
dc.titleStable indirect fuzzy adaptive controlar
dc.typeArticlear
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