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- W2369796801 abstract "The PI controller parameters on-line self-adjusting algorithms based on the neural network for the engine accelerator position and the brake pressure in the wheel brake cylinder of a traction control system were compiled. A hardware-in-the-loop simulator to debug the control algorithms was introduced, and the debug of the proposed traction control system was performed. The results show that the proposed algorithms are characterized by good robustness and capable to limit the driving wheel slip rate within the target value." @default.
- W2369796801 created "2016-06-24" @default.
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- W2369796801 date "2005-01-01" @default.
- W2369796801 modified "2023-09-25" @default.
- W2369796801 title "Self-adjusting Traction Control Algorithm Based on Neural Network for Automobiles" @default.
- W2369796801 hasPublicationYear "2005" @default.
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