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Nonlinear System Identification Using Neural Network
University of Genova (Italy) and Warsaw University of Technology (Poland).
University of Genova (Italy) and Warsaw University of Technology (Poland).
Quaid-e-Awam University of Engineering, Science & Technology (Pakistan).
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Magneto-rheological damper is a nonlinear system. In this case study, system has been identified using Neural Network tool. Optimization between number of neurons in the hidden layer and number of epochs has been achieved and discussed by using multilayer perceptron Neural Network.

Place, publisher, year, edition, pages
2012. 122-131 p.
Series
Emerging Trends and Applications in Information Communication Technologies Communications in Computer and Information Science
Keyword [en]
Nonlinear systems, System identification, Magneto-rheological damper, Neural Networks
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:oru:diva-28937ISBN: 978-3-642-28962-0 (print)OAI: oai:DiVA.org:oru-28937DiVA: diva2:619536
Conference
International MultiTopic Conference, IMTIC 2012 Jamshoro, Pakistan; Volume 281, 2012, pp 122-131
Available from: 2013-05-04 Created: 2013-05-04 Last updated: 2017-10-18Bibliographically approved

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CiteExportLink to record
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Citation style
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