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dc.contributor.authorTong, S.en
dc.contributor.authorLi, Y.en
dc.contributor.authorShi, P.en
dc.identifier.citationIEEE Transactions on Fuzzy Systems, 2012; 20(4):771-785en
dc.description.abstractThis paper is concerned with the problem of adaptive fuzzy tracking control for a class of uncertain multiple-input-multiple-output (MIMO) pure-feedback nonlinear systems with immeasurable states. The dynamic output feedback strategy begins with a state observer. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions. The filtered signals are introduced to circumvent algebraic loop problem encountered in the implementation of the controller, and an adaptive fuzzy output feedback is obtained via a backstepping recursive design technique. It is shown that the proposed control law can guarantee that all the signals of the resulting closed-loop system are semiglobally uniformly ultimately bounded and that the observer and tracking errors converge to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness and potentials of the proposed techniques.en
dc.description.statementofresponsibilityShaocheng Tong, Yongming Li, and Peng Shien
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen
dc.rights© 2012 IEEEen
dc.subjectAdaptive output feedback control; backstepping design; fuzzy logic systems (FLSs); nonlinear multiple-input– multiple-output (MIMO) systems; state observer.en
dc.titleObserver-based adaptive fuzzy backstepping output feedback control of uncertain MIMO pure-feedback nonlinear systemsen
dc.typeJournal articleen
pubs.library.collectionElectrical and Electronic Engineering publicationsen
Appears in Collections:Electrical and Electronic Engineering publications

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