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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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , , |
|---|---|
| வடிவமà¯: | Conference or Workshop Item |
| மொழி: | English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2006
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.utm.my/5473/ http://eprints.utm.my/5473/ http://eprints.utm.my/5473/1/HairiZamzuri2006_Optimisedintelligenttiltcontrollerscheme.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
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