Study on Chaotic Time Series LS-SVM Prediction of Gasoline Engine Transient Air Fuel Ratio

In the gasoline engine transient air fuel than feedback control process, the oxygen sensor of transmission delay cannot be quick feedback gasoline engine transient air combustion than the real value, unable to meet the transient air-fuel ratio feedback control real-time requirements, in this paper, the gasoline engine transient air fuel ratio of chaotic time series LS-SVM prediction model. The phase space reconstruction of the original data were reconstructed, to recover gasoline engine transient air fuel than time series of multidimensional space nonlinear objective. Finally, the LS-SVM (least square support vector machine) training and prediction, get the air-fuel.