Adaptive PID control algorithm for urban rail train with a partially updatable weights neural network
Journal of Vibration and Control
Published online on January 30, 2026
Abstract
Journal of Vibration and Control, Ahead of Print.
To meet the requirements of precise speed profile tracking of urban rail transit system in complex environments and to reduce energy consumption, a back propagation (BP) neural network control strategy with partially updatable weights is proposed, it not ...
To meet the requirements of precise speed profile tracking of urban rail transit system in complex environments and to reduce energy consumption, a back propagation (BP) neural network control strategy with partially updatable weights is proposed, it not ...