mirage

Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks.

DSpace/Manakin Repository

 

Search DR-NTU


Advanced Search Subject Search

Browse

My Account

Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks.

Show simple item record

dc.contributor.author Patra, Jagdish Chandra.
dc.contributor.author Kot, Alex C.
dc.date.accessioned 2011-09-21T07:36:33Z
dc.date.available 2011-09-21T07:36:33Z
dc.date.copyright 2002
dc.date.issued 2011-09-21
dc.identifier.citation Patra, J. C., & Kot, A. C. (2002). Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 32(4), 505-511.
dc.identifier.issn 1083-4419
dc.identifier.uri http://hdl.handle.net/10220/7094
dc.description.abstract A computationally efficient artificial neural network (ANN) for the purpose of dynamic nonlinear system identification is proposed. The major drawback of feedforward neural networks, such as multilayer perceptrons (MLPs) trained with the backpropagation (BP) algorithm, is that they require a large amount of computation for learning. We propose a single-layer functional-link ANN (FLANN) in which the need for a hidden layer is eliminated by expanding the input pattern by Chebyshev polynomials. The novelty of this network is that it requires much less computation than that of a MLP. We have shown its effectiveness in the problem of nonlinear dynamic system identification. In the presence of additive Gaussian noise, the performance of the proposed network is found to be similar or superior to that of a MLP. A performance comparison in terms of computational complexity has also been carried out.
dc.format.extent 7 p.
dc.language.iso en
dc.relation.ispartofseries IEEE transactions on systems, man, and cybernetics, Part B: cybernetics
dc.rights © 2002 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [DOI: http://dx.doi.org/10.1109/TSMCB.2002.1018769].
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Power electronics.
dc.title Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks.
dc.type Journal Article
dc.contributor.school School of Computer Engineering
dc.identifier.doi http://dx.doi.org/10.1109/TSMCB.2002.1018769
dc.description.version Accepted version
dc.identifier.rims 121170

Files in this item

Files Size Format View Description
Nonlinear Dynamic System Identification Using.pdf 522.2Kb PDF View/Open Main article

This item appears in the following Collection(s)

Show simple item record

Statistics

Total views

All Items Views
Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks. 466

Total downloads

All Bitstreams Views
Nonlinear Dynamic System Identification Using.pdf 563
2002IEEET_SMC.pdf 12

Top country downloads

Country Code Views
United States of America 161
China 92
Singapore 73
India 51
Iran 48

Top city downloads

city Views
Mountain View 102
Singapore 73
Beijing 42
New Delhi 13
Taichung 10

Downloads / month

  2014-02 2014-03 2014-04 total
Nonlinear Dynamic System Identification Using.pdf 0 0 39 39