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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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| URI | http://purl.tuc.gr/dl/dias/A14634BF-82F7-435C-92ED-202FC4AF2453 | - |
| Identifier | https://doi.org/10.1109/CDC.1996.572808 | - |
| Identifier | http://ieeexplore.ieee.org/document/572808/ | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | A recurrent neural network model to describe manufacturing cell dynamics | en |
| Creator | Rovithakis, George A., 1968- | en |
| Creator | Gaganis Vasileios | en |
| Creator | Γαγανης Βασιλειος | el |
| Creator | Christodoulou Manolis | en |
| Creator | Χριστοδουλου Μανωλης | el |
| Creator | Perrakis, Stelios | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | A neural network approach to the manufacturing cell modelling problem is discussed. A recurrent high-order neural network structure (RHONN) is employed to identify cell dynamics, which is supposed to be unknown. The model is constructed in such a way that enables the design of a controller which will force the model and thus the original cell to display the required behaviour. The control input signal is transformed to a continuous one so as to conform with the RHONN assumptions, thus converting the original discrete-event system to a continuous one. A case study demonstrates the approximation capabilities of the proposed architecture. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-07 | - |
| Date of Publication | 1996 | - |
| Subject | Artificial neural networks | en |
| Subject | Nets, Neural (Computer science) | en |
| Subject | Networks, Neural (Computer science) | en |
| Subject | Neural nets (Computer science) | en |
| Subject | neural networks computer science | en |
| Subject | artificial neural networks | en |
| Subject | nets neural computer science | en |
| Subject | networks neural computer science | en |
| Subject | neural nets computer science | en |
| Subject | Flexible production systems | en |
| Subject | FMS (Production engineering) | en |
| Subject | Manufacturing systems, Flexible | en |
| Subject | Production systems, Flexible | en |
| Subject | flexible manufacturing systems | en |
| Subject | flexible production systems | en |
| Subject | fms production engineering | en |
| Subject | manufacturing systems flexible | en |
| Subject | production systems flexible | en |
| Bibliographic Citation | G. Rovithakis, V. Gaganis, S. Perrakis and M. Christodoulou, “A recurrent neural network model to describe manufacturing cell dynamics”, in 1996 35th IEEE Conference on Decision and Control, pp. 1728-1733. doi: 10.1109/CDC.1996.572808 | en |
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