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Conference Paper: Direct Adaptive Control for a Class of Multi-input and Multi-output Nonlinear Systems Using Neural Networks

TitleDirect Adaptive Control for a Class of Multi-input and Multi-output Nonlinear Systems Using Neural Networks
Authors
Issue Date2003
Citation
Proceedings of the IEEE Conference on Decision and Control, 2003, v. 3, p. 2716-2721 How to Cite?
AbstractIn this paper, direct adaptive neural network control is studied for a class of multi-input and multi-output (MIMO) nonlinear systems based on input-output model with unknown inter connections between subsystems. The proposed adaptive algorithm is very simple and easy to implement. By finding a unitary orthogonal matrix to tune the NN weights, the closed-loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB). The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters.
Persistent Identifierhttp://hdl.handle.net/10722/212802
ISSN

 

DC FieldValueLanguage
dc.contributor.authorGe, S. S.-
dc.contributor.authorLi, G. Y.-
dc.contributor.authorXi, N.-
dc.date.accessioned2015-07-28T04:05:03Z-
dc.date.available2015-07-28T04:05:03Z-
dc.date.issued2003-
dc.identifier.citationProceedings of the IEEE Conference on Decision and Control, 2003, v. 3, p. 2716-2721-
dc.identifier.issn0191-2216-
dc.identifier.urihttp://hdl.handle.net/10722/212802-
dc.description.abstractIn this paper, direct adaptive neural network control is studied for a class of multi-input and multi-output (MIMO) nonlinear systems based on input-output model with unknown inter connections between subsystems. The proposed adaptive algorithm is very simple and easy to implement. By finding a unitary orthogonal matrix to tune the NN weights, the closed-loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB). The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters.-
dc.languageeng-
dc.relation.ispartofProceedings of the IEEE Conference on Decision and Control-
dc.titleDirect Adaptive Control for a Class of Multi-input and Multi-output Nonlinear Systems Using Neural Networks-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-1542288434-
dc.identifier.volume3-
dc.identifier.spage2716-
dc.identifier.epage2721-

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