Rollover prediction and control in heavy vehicles via recurrent high order neural networks

Intelligent Automation and Soft Computing

Volumn 17, Issue 1, 2011, Pages 95-107

  Sanchez, Edgar N ^a   Ricalde, Luis J ^b   Langari, Reza ^c   Shahmirzadi, Danial ^d  

^a UNIDAD GUADALAJARA   (Mexico)

^b UNIVERSIDAD AUTÓNOMA DE YUCATÁN   (Mexico)

^c Department of Electrical and Computer Engineering   (United States)

^d UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

Adaptive control; Recurrent neural networks; Rollover prediction; Speed yaw rate control; Trajectory tracking

Indexed keywords

EID: 79960814312     PISSN: 10798587     EISSN: 2326005X     Source Type: Journal    
DOI: 10.1080/10798587.2011.10643135     Document Type: Article

References (13)

1. 1. ArcSim User Reference Manual, The University of Michigan Transportation Research Institute (UMTRI), Ann Arbor, MI, 1997.
2. D.A. Fittanto, “Yaw stability of single versus tandem axle tractors”, White Paper 2002-1, 2002 HVE Forum, New Orleans, LA, May 13–17, 2002.
3. S.S. Ge, B. Ren, and K.P. Tee, “Adaptive Neural Network Control of Helicopters with Unknown Dynamics”, Proceedings of the 45th IEEE Conference on Decision &Control, San Diego, CA, USA, 2006.
4. D. Hyun and R. Langari, “Predictive Modelling for Rollover Warning of Heavy Vehicles”, Vehicle System Dynamics, Vol. 39, No. 6, pp. 401–414, 2003.
5. P.A. Ioannou and P.V. Kokotovic, “Instability analysis and the improvement of robustness of adaptive control”, Automatica, Vol. 20, No. 5, pp. 583–594, 1984.
6. H. Khalil, Nonlinear Systems, 2nd Ed., Prentice Hall, Upper Saddle River, NJ, USA, 1996.
7. J.W. Perng, B.F. Wu, and T.T. Lee, “Neural control for a perturbed vehicle steering system using parameter plane method”, IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, 3325–3330, 2005.
8. G.A. Rovitahkis and M.A. Christodoulou, Adaptive Control with Recurrent High-Order Neural Networks, Springer Verlag, New York, USA, 2000.
9. E.N. Sanchez, J.P. Perez, and L. Ricalde, “Recurrent neural control for robot trajectory tracking”, Proceedings of the 15th IFAC World Congress, Barcelona, Spain, 2002.
10. E.N. Sanchez, A.Y. Alanis, and A.G. Loukianov, Discrete-Time High Order Neural Control Trained with Kalman Filtering, Springer Verlag, 2008.
11. R. Sepulchre, M. Jankovic, and P.V. Kokotovic, Constructive nonlinear control, Springer, New york, USA, 1997.
12. V. Trent and M. Greene, “A genetic algorithm predictor for vehicular rollover”, IECON 02, 28th Annual Conference of the Industrial Electronics Society, Vol. 3, 2002.
13. X. Yang, J. Yuan, and F. Yu, “Backing up a truck and trailer using variable universe based fuzzy controller”, Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, pp. 734–739, Luoyang, China, 2006.