Nonlinear dynamic modelling of automotive engines using neural networks
IEEE Conference on Control Applications - Proceedings
This paper presents some efforts on using neural networks to identify nonlinear dynamic models of the manifold pressure and the mass flow processes in automotive engines. External recurrent neural networks are used for dynamic mapping. The dynamic Levenberg-Marquardt algorithm is applied to the weight-estimation. Early results indicate that the neural network based modeling of the manifold dynamics can result in a model comparable if not better than the first principles based models.
Tan, Yonghong and Saif, Mehrdad. (1997). Nonlinear dynamic modelling of automotive engines using neural networks. IEEE Conference on Control Applications - Proceedings, 408-410.