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dc.contributor.authorKarimi, Hamid Reza
dc.date.accessioned2012-02-06T12:48:42Z
dc.date.available2012-02-06T12:48:42Z
dc.date.issued2011
dc.identifier.isbn978-3-642-25485-7
dc.identifier.urihttp://hdl.handle.net/11250/136843
dc.descriptionPublished version of a chapter in the book: Intelligent Robotics and Applications. Also available from the publisher at; http://dx.doi.org/10.1007/978-3-642-25489-5_39no_NO
dc.description.abstractIn this paper, a wavelet-based adaptive control is proposed for a class of robotic manipulators, which consist of nonlinearities for friction effects and uncertain terms as disturbances. The controller is calculated by using a mixed of feedback linearization technique, supervisory control and H∞ control. In addition, the parameter adaptive laws of the wavelet network are developed using a Lyapunov-based design. It is also shown that both system tracking stability and convergence of the error estimation can be guaranteed in the closed-loop system. Simulation results on a three-link robot manipulator show the satisfactory performance of the proposed control schemes even in the presence of large modeling uncertainties and external disturbances.no_NO
dc.language.isoengno_NO
dc.publisherSpringerno_NO
dc.relation.ispartofseriesLecture Notes in Computer Science;7102
dc.subjectwavelet networks, robotic maniplulators, adaptive controlno_NO
dc.titleApplication of wavelet networks to adaptive control of robotic manipulatorsno_NO
dc.typeChapterno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413no_NO
dc.subject.nsiVDP::Technology: 500::Mechanical engineering: 570no_NO
dc.source.pagenumber401-411no_NO


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