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.
| Identifer | oai:union.ndltd.org:DUETT/oai:DUETT:duett-07062001-075120 |
| Date | 06 July 2001 |
| Creators | Carsten, Otto |
| Contributors | Carten, Otto |
| Publisher | Gerhard-Mercator-Universitaet Duisburg |
| Source Sets | Dissertations and other Documents of the Gerhard-Mercator-University Duisburg |
| Language | German |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-07062001-075120/ |
| Rights | unrestricted, 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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