Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.automatica.2005.02.010
DC Field | Value | |
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dc.title | Decentralized control of a class of large-scale nonlinear 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 | 2014-06-17T02:43:49Z | |
dc.date.available | 2014-06-17T02:43:49Z | |
dc.date.issued | 2005-09 | |
dc.identifier.citation | Huang, S.N., Tan, K.K., Lee, T.H. (2005-09). Decentralized control of a class of large-scale nonlinear systems using neural networks. Automatica 41 (9) : 1645-1649. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2005.02.010 | |
dc.identifier.issn | 00051098 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/55502 | |
dc.description.abstract | This paper designs a decentralized neural network (NN) controller for a class of nonlinear large-scale systems, in which strong interconnections are involved. NNs are used to handle unknown functions. The proposed scheme is proved guaranteeing the boundedness of the closed-loop subsystems using only local feedback signals. © 2005 Elsevier Ltd. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.automatica.2005.02.010 | |
dc.source | Scopus | |
dc.subject | Adaptive control | |
dc.subject | Neural networks | |
dc.subject | Nonlinear systems | |
dc.subject | Uncertainty | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1016/j.automatica.2005.02.010 | |
dc.description.sourcetitle | Automatica | |
dc.description.volume | 41 | |
dc.description.issue | 9 | |
dc.description.page | 1645-1649 | |
dc.description.coden | ATCAA | |
dc.identifier.isiut | 000231042400019 | |
Appears in Collections: | Staff Publications |
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