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

Engineering Applications of Artificial Intelligence

Volumn 19, Issue 1, 2006, Pages 65-77

  Arsie, Ivan ^a   Pianese, Cesare ^a   Sorrentino, Marco ^a  

^a UNIVERSITY OF SALERNO   (Italy)

Author keywords

Air to fuel ratio control; Engine control; Engine modeling; Neural networks; Nonlinear dynamic modeling; Recurrent neural networks

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; FEEDFORWARD NEURAL NETWORKS; INTERNAL COMBUSTION ENGINES; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS;

AIR-TO-FUEL RATIO CONTROL; ENGINE CONTROL; ENGINE MODELING; NONLINEAR DYNAMIC MODELING;

RECURRENT NEURAL NETWORKS;

EID: 29144452530     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2005.06.003     Document Type: Article

References (40)

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.
6. Arsie, I., Pianese, C., Rizzo, G., Cioffi, V., 2003. An adaptive estimator of fuel film dynamics in the intake port of a spark ignition engine. Control Engineering Practice, vol. 11(3). Elsevier, Amsterdam, pp. 303-309.
7. Asik, J.R., Peters, J.M., Meyer, G.M., Tang, D.X., 1997. Transient A/F estimation and control using a neural network. SAE Paper No. 970619.
8. A. Atiya, and C. Ji How initial conditions affect generalization performance in large networks IEEE Transactions on Neural Networks 8 2 1997 (p. 448, March)
9. Baumann, B.M., 1997. Intelligent control strategies for hybrid vehicles using neural networks and fuzzy logic. Master Thesis, The Ohio State University.
10. D. Capriglione, C. Liguori, C. Pianese, and A. Pietrosanto On-line sensor fault detection isolation, and accommodation in automotive engines IEEE Transactions on Instrumentation and Measurement 52 4 2003 1182 1189
11. L. Dinca, T. Aldemir, and G. Rizzoni A model-based probabilistic approach for fault detection and identification with application to the diagnosis of automotive engines IEEE Transactions on Automatic Control 44 11 1999 2200 2205
12. Dovifaaz, X., Ouladsine, M., Rachid, A., 1999. Optimal control of a turbocharged diesel engine using neural network. In: Proceedings of the 14th IFAC World Congress, IFAC-8b-009, Beijing, China, July 5-9, 1999.
13. K. Fukumizu Statistical active learning in multilayer perceptrons IEEE Transactions on Neural Network 11 1 2000 17 26
14. Gambino, M., Pianese, C., Rizzo, G., 1994. Identification of a dynamic model for transient mixture formation in a multi-point spark ignition engine. In: Proceedings of the 4th A.S.M.E. Symposium on Transportation Systems, Chicago, DSC-vol. 54, pp. 189-204.
15. C.L. Giles, D. Chen, G.Z. Sun, H.H. Chen, YC. Lee, and M.W. Goudreau Constructive learning of recurrent neural networks limitations of recurrent cascade correlation and a simple solution IEEE Transactions on Neural Networks 6 4 1995 p. 829
16. S. Haykin Neural Networks 1999 Prentice-Hall Englewood Cliffs, NJ
17. R. Hecht-Nielsen Neurocomputing 1987 Addison-Wesley Reading, MA
18. Hendricks, E., Sorenson, S.C., 1991. SI engine controls and mean value engine modeling. SAE Paper No. 910258.
19. J.B. Heywood Internal Combustion Engine Fundamental 1988 Mc-Graw Hill New York
20. Isermann, R., 1997. Supervision, fault-detection and fault-diagnosis methods - an introduction. Control Engineering Practice, vol. 5(5).Elsevier, Amsterdam, pp. 638-652.
21. Isermann, R., Schwarz, R., Stolz, S., 2000. Fault-tolerant drive-by-wire system - concepts and realizations. In: Proceedings of SAFEPROCESS 2000, 4th Symposium on Fault Detection Supervision and Safety for Technical Processes, Budapest, Hungary, June 14-16, 2000.
22. Lehtokangas, M., 1999. Constructive backpropagation for recurrent networks. Neural Processing Letters, vol. 9. Kluwer Academic Publishers, NL, pp. 271-278.
23. L. Ljung System Identification, Theory for the User second ed. 1999 Prentice-Hall PTR Englewood, Cliffs, NJ
24. D.J.C. MacKay Information - based objective functions for active data selection Neural Computation 4 4 1992 590 604
25. Mastroberti, M., Pianese, C., 2001. Identificazione e Validazione di Modelli a Rete Neurale per Motori ad Accensione Comandata Mediante Tecniche Monte Carlo, 56th National Congress of ATI, Napoli, September 10-14 (in italian).
26. Matthews, R.D., Dongre, S.K., Beaman, J.J., 1991. Intake and ECM sub-model improvements for dynamic SI engine models: examination of tip-in tip-out. SAE Paper No. 910074.
27. O. Nelles Nonlinear System Identification 2000 Springer Berlin
28. M. Nørgaard, O. Ravn, N.L. Poulsen, and L.K. Hansen Neural Networks for Modeling and Control of Dynamic Systems 2000 Springer Berlin
29. Onder, C.H., Geering, H.P., 1997. Model identification for the A/F path of an SI Engine. SAE Paper No. 970612.
30. Ortmann, S., Glesner, M., Rychetsky, M., Tubetti, P., Morra, G., 1998. Engine knock estimation using neural networks based on a real-world database. SAE Paper No. 980513.
31. D.W. Patterson Artificial Neural Networks - Theory and Applications 1995 Prentice-Hall Englewood Cliffs, NJ
32. J.D. Powell, N.P. Fekete, and C.F. Chang Observer-based air-fuel ratio control IEEE Transactions on Control Systems 18 5 1998 72 83
33. Puskorius, G.V., Feldkamp, L.A., Davis, L.I., 1996. Dynamic neural network methods applied to on-vehicle idle speed control. In: Proceedings of the IEEE, vol. 84(10), October, pp. 1407-1420.
34. B.D. Ripley Pattern Recognition and Neural Networks 2000 Cambridge University Press Cambridge
35. Shayler, P.J., Goodman, M.S., Ma, T., 1996. Transient air/fuel ratio control of an S.I. engine using neural networks. SAE Paper No. 960326.
36. J. Sum, C. Leung, G.H. Young, and W. Kann On the Kalman filtering method in neural-network training and pruning IEEE Transactions on Neural Networks 10 1 1999
37. Tan, Y., Saif, M., 2000. Neural-networks-based nonlinear dynamic modeling for automotive engines. Neurocomputing, vol. 30. Elsevier, Amsterdam, pp. 129-142.
38. G. Thimm, and E. Fiesler Higher order and multilayer perceptron initialization IEEE Transaction Neural Network 8 2 1997 349 359
39. Turin, R.C., Geering, H.P., 1994. Model-based adaptive fuel control in an SI engine. SAE Paper No. 940374.
40. Vigild, C.W., Andersen, K.P.H., Hendricks, E., 1999. Towards robust H-infinity control of an SI engine's air/fuel ratio. SAE Paper No. 1999-01-0854.