System identification for internal combustion engine model
A parametric and non-parametric identification of internal combustion engine (ICE) model using recursive least squares (RLS) and neuro-fuzzy modeling (ANFIS) approach are introduced in this paper. The analytical model of an internal combustion engine is excited by pseudorandom binary sequence (PRBS)...
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| Main Authors: | , |
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| Format: | Book Section |
| Published: |
IEEE
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/21142/ http://dx.doi.org/10.1109/AMS.2012.13 |
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