Optimised intelligent tilt controller scheme using genetic algorithms

This paper presents work on a fuzzy control design for improving the performance of tilting trains with local-per vehicle control, i.e. without employing precedence control.An optimisation procedure using Genetic Algorithms as employed to determine both the best fuzzy output membership function and...

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Bibliographic Details

Main Authors:	Zamzuri, Hairi, Zolotas, Argyrios, Goodall, Roger
Format:	Conference or Workshop Item
Language:	en
Published:	2006
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TF Railroad engineering and operation
Online Access:	http://eprints.utm.my/5473/1/HairiZamzuri2006_Optimisedintelligenttiltcontrollerscheme.pdf http://eprints.utm.my/5473/ http://ukacc.group.shef.ac.uk/proceedings/control2006/icc2006.htm
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