Notice of RetractionResearch on semi-active control of high-speed railway vehicle based on neural network-PID control

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

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For the model of semi-active suspension system of high-speed railway vehicle which has nonlinear features, the mathematical model of a quarter of vehicle has been established, and in the semi-active suspension system, a PID controller and a PID controller based on BP neural network have been established, respectively, and simulations of high-speed vehicle are carried out under the condition of passive suspension and semi-active suspension employing PID control algorithm based on BP neural network, then to compare the stabilities of high-speed railway vehicle in the above two cases. The simulation results will show that: high-speed railway vehicle of semi-active suspension by adopting PID control method based on BP neural network can effectively improve the stability of high-speed railway vehicle.