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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 (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.
, Emerging Trends and Applications in Information Communication Technologies Communications in Computer and Information Science, ISSN 978-3-642-28962-0
Keyword [en]
Nonlinear systems, System identification, Magneto-rheological damper, Neural Networks
National Category
Control Engineering
URN: urn:nbn:se:oru:diva-28937OAI: diva2:619536
International MultiTopic Conference, IMTIC 2012 Jamshoro, Pakistan; Volume 281, 2012, pp 122-131
Available from: 2013-05-04 Created: 2013-05-04 Last updated: 2013-05-22Bibliographically approved

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