Modeling Automotive Engine Control Module with Neural Network Trained by Iterated Kalman Filter Algorithm

An attempt has been made to model a production engine control module. Both extended Kalman filter (EKF) algorithm and iterated extended Kalman filter (IEKF) algorithm are used in the construction of the model. The results shows the model trained by both algorithms can produce accurate results with RMS errors in a range of 2- 3%, while iterated extended Kalman filter algorithm outperforms the extended Kalman filter algorithm