Abstract
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<p>We propose two artificial neural … <p>We propose two artificial neural network models which use the ionization current for estimation of the position of the pressure peak and the air-fuel ratio. The pressure peak position model produces estimates on a cycle-by-cycle basis for each of the cylinders. These estimates are twice as good as estimates obtained from a linear model. The air-fuel ratio model uses the universal exhaust gas oxygen sensor as reference; it produces estimates that are ten times better than estimates obtained fi om a linear model.</p>s obtained fi om a linear model.</p>
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Author
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Nicholas Wickström +
, Mikael Taveniku +
, Arne Linde +
, Magnus Larsson +
, Bertil Svensson +
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Conference
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IEEE Conference on Intelligent Transportation Systems, ITSC, Boston, MA, USA, 9 -12 November, 1997
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DOI
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http://dx.doi.org/10.1109/ITSC.1997.660605 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:291829
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EndPage
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977 +
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HostPublication
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IEEE Conference on Intelligent Transportation Systems : proceedings, Boston Park Plaza Hotel, Boston, Massachusetts, November 9-12, 1997 +
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PublicationType
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Conference Paper +
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Publisher
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IEEE +
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StartPage
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927 +
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Title
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Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
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Year
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1997 +
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Has queryThis property is a special property in this wiki.
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Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
, Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:40:50 +
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