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Modeling A Hydraulic Drive Using Neural Networks

This paper presents the nonlinear black box modeling of a hydraulic translatory drive using neural networks. The type of neural network employed here is the multilayer perceptron. Feeding previous inputs and outputs into the network leads to two different black box model structures, namely the series-parallel and the parallel model. Their suitability for modeling the hydraulic drive on the basis of measurements on a test bed is compared.

Identiferoai:union.ndltd.org:DUETT/oai:DUETT:duett-07062001-075120
Date06 July 2001
CreatorsCarsten, Otto
ContributorsCarten, Otto
PublisherGerhard-Mercator-Universitaet Duisburg
Source SetsDissertations and other Documents of the Gerhard-Mercator-University Duisburg
LanguageGerman
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-07062001-075120/
Rightsunrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. Hiermit erteile ich der Universitaet Duisburg das nicht-ausschliessliche Recht unter den unten angegebenen Bedingungen, meine Dissertation, Staatsexamens- oder Diplomarbeit, meinen Forschungs- oder Projektbericht zu veroeffentlichen und zu archivieren. Ich behalte das Urheberrecht und das Recht das Dokument zu veroeffentlichen und in anderen Arbeiten weiterzuverwenden.

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