A procedure to enhance identification of recurrent neural networks for simulating air–fuel ratio dynamics in SI engines-Reference-Cited by-同舟云学术

A procedure to enhance identification of recurrent neural networks for simulating air–fuel ratio dynamics in SI engines

Published:2006-02 Issue:1 Volume:19 Page:65-77
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Arsie Ivan,Pianese Cesare,Sorrentino Marco

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference40 articles.

1. Aquino, C.F., 1981. Transient A/F control characteristics of the 5 liter central fuel injection engine. SAE Paper No. 810494.

2. Arsie, I., Pianese, C., Rizzo, G., 1998. Enhancement of control oriented engine models using neural network. In: Proceedings of the 6th IEEE Mediterranean Conference on “Control Systems”, Alghero, Italy, June 9–11, 1998.

3. Arsie, I., Pianese, C., Rizzo, G., 1999. Identification of manifold two-phase fuel flow model in a spark ignition engine with Kalman filter and least square methods. In: Proceedings of the 7th IEEE Medical Conference on Control & Automation, Haifa, Israel, June 28–30, 1999, pp. 184–199.

4. Arsie, I., Flora, R., Pianese, C., Rizzo, G., Serra, G., 2000. A computer code for S.I. engine control and powertrain simulation. SAE Paper No. 2000-01-0938. Published on SAE 2000 Transactions—Journal of Engines, vol. 109–3. pp. 935–949.

5. Arsie, I., Marotta, F., Pianese, C., Rizzo, G., 2001. Information based selection of neural networks training data for S.I. engine mapping. SAE Paper No. 2001-01-0561. Published on SAE 2001 Transactions—Journal of Engines, vol. 110–3, pp. 549–560.

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