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Modelling and prediction of automotive engine airratio using relevance vector machine
Wong P.K.; Wong H.C.; Vong C.M.
2012-12-01
Conference Name12th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Source Publication2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
Pages1710-1715
Conference DateDEC 05-07, 2012
Conference PlaceGuangzhou, PEOPLES R CHINA
Abstract

Fuel efficiency and pollution reduction relate closely to air-ratio (i.e. lambda) among all of the automotive engine control variables. Accurate lambda prediction is essential for effective lambda control. This paper presents an online sequential algorithm for relevance vector machine (RVM) to build a time-dependent RVM lambda function which can be continually updated whenever a sample is added to, or removed from, the training dataset. In order to evaluate the effectiveness of the online sequential algorithm, three lambda time series obtained from experiments under different engine operating conditions were employed. The prediction results under the online sequential algorithm over unseen cases were compared with those under decremental least-squares support vector machine. From the experiments, the online sequential RVM shows promising results and is superior to the typical online algorithm. © 2012 IEEE.

KeywordEngine Air-ratio Online Sequential Algorithm Relevance Vector Machine Time-series Prediction
DOI10.1109/ICARCV.2012.6485407
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Engineering ; Robotics
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Robotics
WOS IDWOS:000317972500298
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Wong P.K.,Wong H.C.,Vong C.M.. Modelling and prediction of automotive engine airratio using relevance vector machine[C],2012:1710-1715.
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