Optimised intelligent tilt controller scheme using genetic algorithms

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:English
Published: 2006
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
TF Railroad engineering and operation
Online Access:http://eprints.utm.my/5473/
http://eprints.utm.my/5473/1/HairiZamzuri2006_Optimisedintelligenttiltcontrollerscheme.pdf

Internet

http://eprints.utm.my/5473/
http://eprints.utm.my/5473/1/HairiZamzuri2006_Optimisedintelligenttiltcontrollerscheme.pdf

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