Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1434
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Lam, HK | - |
dc.creator | Ling, SH | - |
dc.creator | Iu, HHC | - |
dc.creator | Yeung, CW | - |
dc.creator | Leung, FHF | - |
dc.date.accessioned | 2014-12-11T08:26:25Z | - |
dc.date.available | 2014-12-11T08:26:25Z | - |
dc.identifier.isbn | 1-4244-1340-0 | - |
dc.identifier.uri | http://hdl.handle.net/10397/1434 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.rights | © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_US |
dc.rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | en_US |
dc.subject | Feedback control | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Parameter estimation | en_US |
dc.title | Control of nonlinear systems with a linear state-feedback controller and a modified neural network tuned by genetic algorithm | en_US |
dc.type | Conference Paper | en_US |
dc.description.otherinformation | Author name used in this publication: H. H. C. Iu | en_US |
dc.description.otherinformation | Author name used in this publication: F. H. F. Leung | en_US |
dc.description.otherinformation | Centre for Signal Processing, Department of Electronic and Information Engineering | en_US |
dc.description.otherinformation | Refereed conference paper | en_US |
dcterms.abstract | This paper presents the control of nonlinear systems with a neural network. In the proposed neural network, the neuron has two activation functions and exhibits a node-to-node relationship in the hidden layer. By using a genetic algorithm with arithmetic crossover and non-uniform mutation, the parameters of the proposed neural network can be tuned. Application examples are given to illustrate the merits of the proposed neural network. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | CEC 2007 : IEEE Congress on Evolutionary Computation, Singapore, 25–28 September 2007, p. 1614-1619 | - |
dcterms.issued | 2007 | - |
dc.identifier.scopus | 2-s2.0-79955284592 | - |
dc.identifier.rosgroupid | r39841 | - |
dc.description.ros | 2007-2008 > Academic research: refereed > Refereed conference paper | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
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Linear state-feedback controller_07.pdf | 256.97 kB | Adobe PDF | View/Open |
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