On the basis of experiment on hydrogen-fueled engine, an advanced ignition angel optimization model, which was the function of rotating speed and loading, was established by the input-output satisfactory relation of radial basis function (RBF) neural network. Digital signal processor (DSP) with quick operation to digital signal was applied to keep optimized control over the advanced ignition angel. Moreover, the calculating results with RBF neural network were contrasted with the experimental results. The results indicated that the optimized control model could accurately forecast the ignition timing of the hydrogen-fueled engine. 