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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.1998.694721
DC FieldValue
dc.titleDirect adaptive control of non-affine nonlinear systems using multilayer neural networks
dc.contributor.authorZhang, T.
dc.contributor.authorGe, S.S.
dc.contributor.authorHang, C.C.
dc.date.accessioned2014-06-19T05:09:37Z
dc.date.available2014-06-19T05:09:37Z
dc.date.issued1998
dc.identifier.citationZhang, T.,Ge, S.S.,Hang, C.C. (1998). Direct adaptive control of non-affine nonlinear systems using multilayer neural networks. Proceedings of the American Control Conference 1 : 515-519. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ACC.1998.694721" target="_blank">https://doi.org/10.1109/ACC.1998.694721</a>
dc.identifier.isbn0780345304
dc.identifier.issn07431619
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72578
dc.description.abstractA direct adaptive control method is presented for a class of non-affine nonlinear systems using multilayer neural networks (MNNs). The proposed controller ensures that the output of the system tracks a given bounded reference signal and the output tracking error converges to an ε-neighborhood of zero, while the stability of the closed-loop system is guaranteed by Lyapunov's stability theory. © 1998 AACC.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ACC.1998.694721
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1109/ACC.1998.694721
dc.description.sourcetitleProceedings of the American Control Conference
dc.description.volume1
dc.description.page515-519
dc.description.codenPRACE
dc.identifier.isiutNOT_IN_WOS
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