Loading [a11y]/accessibility-menu.js
Dynamic engine modeling through linear programming Support Vector Regression | IEEE Conference Publication | IEEE Xplore

Dynamic engine modeling through linear programming Support Vector Regression


Abstract:

In this paper, we develop a dynamic model for an internal combustion engine using Support Vector Regression (SVR). In particular, a linear programming SVR (LP-SVR) approa...Show More

Abstract:

In this paper, we develop a dynamic model for an internal combustion engine using Support Vector Regression (SVR). In particular, a linear programming SVR (LP-SVR) approach is investigated. The computational advantages and generalization capability of the LP-SVR dynamic engine model are illustrated through a case study, where a model is developed for an L4 gasoline engine. Simulation results are reported to demonstrate the effectiveness of proposed approach and to illustrate the trade-offs among different modeling attributes.
Date of Conference: 10-12 June 2009
Date Added to IEEE Xplore: 10 July 2009
ISBN Information:

ISSN Information:

Conference Location: St. Louis, MO

References

References is not available for this document.