Investigation on lateral acceleration prediction of tilting passenger car based on neural networks

摘要

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.