Please use this identifier to cite or link to this item:
https://doi.org/10.1109/TNN.2005.857948
DC Field | Value | |
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dc.title | Nonlinear adaptive control of interconnected systems using neural networks | |
dc.contributor.author | Huang, S.N. | |
dc.contributor.author | Tan, K.K. | |
dc.contributor.author | Lee, T.H. | |
dc.date.accessioned | 2014-06-17T02:58:54Z | |
dc.date.available | 2014-06-17T02:58:54Z | |
dc.date.issued | 2006-01 | |
dc.identifier.citation | Huang, S.N., Tan, K.K., Lee, T.H. (2006-01). Nonlinear adaptive control of interconnected systems using neural networks. IEEE Transactions on Neural Networks 17 (1) : 243-246. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2005.857948 | |
dc.identifier.issn | 10459227 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/56813 | |
dc.description.abstract | In this letter, we solve the problem of decentralized adaptive asymptotic tracking for a class of large scale systems with significant nonlinearities and uncertainties. Neural networks (NNs) are used as a control part to cancel the effect of the unknown nonlinearity. Semiglobal asymptotic stability results are obtained and the tracking error converges to zero. © 2006 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TNN.2005.857948 | |
dc.source | Scopus | |
dc.subject | Adaptive control | |
dc.subject | Interconnected systems | |
dc.subject | Neural networks (NNs) | |
dc.subject | Stability | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/TNN.2005.857948 | |
dc.description.sourcetitle | IEEE Transactions on Neural Networks | |
dc.description.volume | 17 | |
dc.description.issue | 1 | |
dc.description.page | 243-246 | |
dc.description.coden | ITNNE | |
dc.identifier.isiut | 000235536300022 | |
Appears in Collections: | Staff Publications |
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