Title :
Investigation on lateral acceleration prediction of tilting passenger car based on neural networks
Author :
Zhang, Jimin ; Zhang, Baoan ; Yang, Zhiqiang
Author_Institution :
Railway&Urban Mass Transit Res. Inst., Tongji Univ., Shanghai, China
Abstract :
The multi-step coming controlled reference signals are predicted online by the neural network to satisfy the real time requirement of the titling passenger car and the program is achieved. The data from detected is simulated and the conclusion is that the neural network can predict the lateral acceleration of the titling train in the multi-step and what the lag result from all kinds reason may be compensated.
Keywords :
neural nets; railway engineering; real-time systems; lateral acceleration prediction; multistep coming controlled reference signals; neural network; online prediction; real time requirement; tilting passenger car; tilting train; Acceleration; Artificial neural networks; Biological neural networks; Equations; Mathematical model; Prediction algorithms; Vehicles; multi-step prediction; neural network; tilting passenger car;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583845
