Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62043
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dc.titleDirect adaptive control of nonlinear systems via implicit function emulation
dc.contributor.authorGoh, C.J.
dc.contributor.authorLee, T.H.
dc.date.accessioned2014-06-17T06:46:46Z
dc.date.available2014-06-17T06:46:46Z
dc.date.issued1994-09
dc.identifier.citationGoh, C.J.,Lee, T.H. (1994-09). Direct adaptive control of nonlinear systems via implicit function emulation. Control, theory and advanced technology 10 (3) : 539-552. ScholarBank@NUS Repository.
dc.identifier.issn09110704
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62043
dc.description.abstractWe consider the direct adaptive control of a general nonlinear dynamical system with only weak assumptions about the order and relative degree of the plant. The plant may be nonlinear in the control, and only output feedback is required. The underlying idea is to adaptively emulate the implicit function of the unknown dynamical relationship between the input and output of the system. If a linearly parameterized model (in particular, a radial gaussian network) is used for this purpose, we show that the adaptation process converges and, in turn, gives rise to bounded output tracking error, if a network with a sufficiently large number of nodes is used.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleControl, theory and advanced technology
dc.description.volume10
dc.description.issue3
dc.description.page539-552
dc.description.codenCTATE
dc.identifier.isiutNOT_IN_WOS
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