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| − | |Abstract=In this paper, the well-known emergent phenomenon of bunching as appearing in lift group traffic control systems is taken as a technical scenario for validating the generic observer/controller architecture which has been designed as part of an anticipated organic framework | + | |Abstract=In this paper, the well-known emergent phenomenon of bunching as appearing in lift group traffic control systems is taken as a technical scenario for validating the generic observer/controller architecture which has been designed as part of an anticipated organic framework – providing generic toolbox mechanisms to observe, analyse, and control emergent behaviour in self-organising systems. In particular, we show how to control and prevent global, collective, unwanted behavior of groups of lifts, based on observations of the local behaviour of lift cabins. |
|ISBN=978-3-540-78152-3 | |ISBN=978-3-540-78152-3 | ||
|ISSN=0302-9743 | |ISSN=0302-9743 | ||
| − | | | + | |DOI Name=10.1007/978-3-540-78153-0_18 |
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| − | + | |Forschungsgruppe=Effiziente Algorithmen | |
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{{Forschungsgebiet Auswahl | {{Forschungsgebiet Auswahl | ||
|Forschungsgebiet=Organic Computing | |Forschungsgebiet=Organic Computing | ||
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Aktuelle Version vom 16. September 2009, 12:08 Uhr
Using Organic Computing to Control Bunching Effects
Using Organic Computing to Control Bunching Effects
Published: 2008
Februar
Herausgeber: Uwe Brinkschulte, Theo Ungerer, Christian Hochberger, and Rainer G. Spallek
Buchtitel: Proceedings of the 21th International Conference on Architecture of Computing Systems (ARCS 2008)
Ausgabe: 4934
Reihe: LNCS
Seiten: 232-244
Verlag: Springer
Referierte Veröffentlichung
BibTeX
Kurzfassung
In this paper, the well-known emergent phenomenon of bunching as appearing in lift group traffic control systems is taken as a technical scenario for validating the generic observer/controller architecture which has been designed as part of an anticipated organic framework – providing generic toolbox mechanisms to observe, analyse, and control emergent behaviour in self-organising systems. In particular, we show how to control and prevent global, collective, unwanted behavior of groups of lifts, based on observations of the local behaviour of lift cabins.
ISBN: 978-3-540-78152-3
ISSN: 0302-9743
DOI Link: 10.1007/978-3-540-78153-0_18