Prediction of road adhesion coefficient for vehicle ABS control using an MFO-Elman neural network
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on August 21, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Precisely estimating road adhesion coefficients is essential for enhancing the control of wheel slip ratios. However, traditional neural networks exhibit instability in weight vector updates, resulting in suboptimal estimations that are inadequate for ...
Precisely estimating road adhesion coefficients is essential for enhancing the control of wheel slip ratios. However, traditional neural networks exhibit instability in weight vector updates, resulting in suboptimal estimations that are inadequate for ...