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Nonlinear System Identification Using Neural Network
University of Genova , Genova, Italy; Warsaw University of Technology, Warshaw, Poland.ORCID iD: 0000-0002-5973-7424
University of Genova , Genova, Italy; Warsaw University of Technology, Warshaw, Poland.
Science & Technology , Quaid-e-Awam University of Engineering, Sindh, Pakistan.
2012 (English)In: Emerging Trends and Applications in Information Communication Technologies: Second International Multi Topic Conference, IMTIC 2012, Jamshoro, Pakistan, March 28-30, 2012: Proceedings / [ed] Bhawani Shankar Chowdhry; Faisal Karim Shaikh; Dil Muhammad Akbar Hussain; Muhammad Aslam Uqaili, Springer, 2012, Vol. 281, p. 122-131Conference 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
Springer, 2012. Vol. 281, p. 122-131
Series
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937
Keywords [en]
Nonlinear systems, System identification, Magneto-rheological damper, Neural Networks
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:oru:diva-28937DOI: 10.1007/978-3-642-28962-0_13ISBN: 9783642289620 (electronic)ISBN: 9783642289613 (print)OAI: oai:DiVA.org:oru-28937DiVA, id: diva2:619536
Conference
Second International Multi Topic Conference (IMTIC 2012) Jamshoro, Pakistan, March 28-30, 2012
Available from: 2013-05-04 Created: 2013-05-04 Last updated: 2024-01-02Bibliographically approved

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Arain, Muhammad Asif
Control Engineering

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CiteExportLink to record
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  • apa
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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Output format
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