This paper studies on a fuzzy predictive model based high speed train fault tolerant control method, which is very important for high speed train’s high-precision control. After analyzing related research works about fault tolerant control and the development of modern high speed train, design of the high speed train fault tolerant control system is given. Afterwards, the high speed train fault...

Optimizing the training of a machine learning pipeline helps in reducing costs and improving model performance. One such optimizing strategy is quantum annealing, which an emerging computing paradigm that has shown potential model. The implementation physical annealer been realized by D-wave systems available to research community for experiments. Recent experimental results on variety applicat...

In railways, the long-term strategic planning is process of evaluating improvements to railway network (e.g., upgrading a single track line double line) and changes composition/frequency train services adding 1 per hour along certain route). The effects different combinations infrastructure upgrades updated (also called scenarios), are usually evaluated by creating new feasible timetables follo...

This paper addresses an optimal train trajectory planning and tracking problem for automatic train operation (ATO) with consideration of the train model uncertainty and constraints. Based on the discrete linear multi-points train model, an ATO control algorithm is presented to track piecewise reference by using model predictive control with constraints tightening such that the feasibility and r...

Seven two-dimensional (2-D) seismic refraction lines were used to determine the thickness and geometry of a valley train outwash deposit of the Quaternary Henry Formation near Heyworth in southern McLean County, Illinois. These refraction data were collected and processed in 2-D, then imported into a Petrel, a three-dimensional (3-D) geological modeling software package. The 3-D geologic model ...

The accuracy in determined energy consumption and running time of trains, by means of computer simulation, is dependent upon the various models used. This thesis aims at developing validated models of running resistance, train and of a general driver, all based on full scale testing. A partly new simple methodology for determining running resistance, called by energy coasting method is develope...

a robust linear quantitative structure-property relationship (qspr) model has been constructed to model and predict the refractivity indices of 101 organic compounds as common halo-derivatives of normal paraffin by application of the structural descriptors combined with multiple linear regression (mlr) method. in the main part of this study, theoretical molecular descriptors were adopted from t...