This paper is an outcome of an international collaborative research initiative. Researchers
from 24 institutions across 12 countries were invited to discuss the state-of-the-art in railway …

In this paper, an adaptive iterative learning control (AILC) strategy for high-speed trains with
unknown speed delays and control input saturations is designed to address speed trajectory …

Differential-type (D-type) iterative learning control (ILC) is a typical control method for
repetitive operating nonlinear systems and has been used for speed tracking of high-speed …

This work embodies the overspeed protection and safe headway control into an iterative
learning control (ILC) based train trajectory tracking algorithm to satisfy the high safety …

This paper deals with brake modelling as used in train simulation study. Accuracy of
predictions depend on the type of model used and the numerical techniques used in finding …

This paper deals with the parametric study of a twin-pipe graduated release railway air
brake system. The air brake model is based on the analysis of a pneumatic train circuit and a …

In modern railway applications, the prevention of wheel skid is very important. This is
because wheel skid can lead to an increase in noise and vibration from wheels with flat …

This paper deals with the railway air brake simulation by using empirical equations. These
empirical equations have been developed from an analysis of predictions of theoretical …

This work presents an iterative learning control (ILC) based automatic train operation (ATO)
algorithm to address trajectory tracking problem. The train motion dynamics is first described …

An approach of iterative predictive learning control (IPLC) is studied with consideration to
both precise train trajectory tracking and energy efficient operation. Through designing the …