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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/69783
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dc.titleDecentralized adaptive control of nonlinear systems using neural networks
dc.contributor.authorHuang, S.N.
dc.contributor.authorTan, K.K.
dc.contributor.authorLee, T.H.
dc.contributor.authorGiam, T.S.
dc.date.accessioned2014-06-19T03:04:36Z
dc.date.available2014-06-19T03:04:36Z
dc.date.issued2002
dc.identifier.citationHuang, S.N.,Tan, K.K.,Lee, T.H.,Giam, T.S. (2002). Decentralized adaptive control of nonlinear systems using neural networks. Proceedings of the IEEE Conference on Decision and Control 2 : 1757-1761. ScholarBank@NUS Repository.
dc.identifier.issn01912216
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69783
dc.description.abstractWe develop a decentralized neural network (NN) controller for a class of large-scale nonlinear systems with the strong interconnections. The NNs are used to approximate unknown nonlinear functions in the system which may be not linearly parameterized. We prove that this NN structure can achieve a stable controller for the large-scale systems. In a comparison with [3], we show that the proposed controller does not make any requirement upon the rate of the input gain for each subsystem as in [3].
dc.sourceScopus
dc.subjectDecentralized control
dc.subjectLarge-scale systems
dc.subjectNeural networks
dc.subjectStability
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the IEEE Conference on Decision and Control
dc.description.volume2
dc.description.page1757-1761
dc.description.codenPCDCD
dc.identifier.isiutNOT_IN_WOS
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