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dc.contributor.authorBabaei, N. and Salamci, M.U. and Karakurt, A.H.
dc.date.accessioned2020-07-02T07:11:13Z
dc.date.available2020-07-02T07:11:13Z
dc.date.issued2017
dc.identifier.citationcited By 1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85036658221&doi=10.1115%2fDSCC2017-5353&partnerID=40&md5=a77af3d7b5e8bc0d69305b47438a8002
dc.identifier.urihttp://hdl.handle.net/20.500.12481/12268
dc.description.abstractThe paper presents an approach to the Model Reference Adaptive Control (MRAC) design for nonlinear dynamical systems. A nonlinear reference system is considered such that its response is designed to be stable via Successive Approximation Approach (SAA). Having designed the stable reference model through the SAA, MRAC is then formulated for nonlinear plant dynamics with a new adaptation rule to guarantee the convergence of the nonlinear plant response to that of the response of the nonlinear reference model. The proposed design methodology is illustrated with examples for different case studies. Copyright © 2017 ASME.
dc.language.isoEnglish
dc.publisherAmerican Society of Mechanical Engineers
dc.titleAdaptive control design for nonlinear systems via successive approximations
dc.typeConference Paper
dc.contributor.departmentDepartment of Mechanical Engineering, Gazi University Celal Bayar Bulvari, Maltepe, Ankara, 06570, Turkey; Department of Mechanical Engineering, Bilkent University, Ankara, 06500, Turkey
dc.identifier.DOI-ID10.1115/DSCC2017-5353
dc.identifier.volume1


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