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...
| Main Authors: | Zamzuri, Hairi, Zolotas, Argyrios, Goodall, Roger |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2006
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/5473/ http://eprints.utm.my/5473/1/HairiZamzuri2006_Optimisedintelligenttiltcontrollerscheme.pdf |
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