Study on Multi-Objective Intelligent Speed Controller Model of Automatic Train Operation for High Speed Train Based on Grey System Theory and Genetic Algorithm

2018 ◽  
Author(s):  
Fan Gao ◽  
Fuzhang Wang ◽  
Ming Zhang ◽  
Yanhua Wu
Keyword(s):  
System Theory ◽  
Genetic Algorithm ◽  
High Speed ◽  
Grey System Theory ◽  
High Speed Train ◽  
Grey System ◽  
Multi Objective ◽  
Speed Controller ◽  
Train Operation ◽  
Automatic Train Operation

An Intelligent Cruise Controller for High-Speed Train Operation Based on Fuzzy Neural Network Theory

2013 ◽  
Vol 300-301 ◽  
pp. 1405-1411 ◽  
Author(s):  
Long Sheng Wang ◽  
Hong Ze Xu ◽  
Heng Yu Luo
Keyword(s):  
Neural Network ◽  
High Speed ◽  
Fuzzy Neural Network ◽  
Single Point ◽  
Network Control ◽  
High Speed Train ◽  
Mass Model ◽  
Fuzzy Neural ◽  
Train Operation ◽  
Automatic Train Operation

An intelligent control strategy is proposed in this paper, which is applied to the high-speed train ATO (Automatic Train Operation) system in the cruise condition. The dynamics of a high-speed train is discussed based on a typical single-point-mass model and the force analysis in cruise state is studied. A fuzzy neural network control algorithm is incorporated into the ATO system aiming at improving the velocity and position tracking performance in the cruise operation of high-speed train. This control scheme adjusts the parameters of membership functions on-line and does not rely on the precise system parameters such as resistance coefficients which are very difficult to measure in practice. The numerical simulation verifies the effectiveness of this fuzzy neural network algorithm.

Study on Safety and Stability of High Speed Milling Cutter Based on Grey System Theory

2010 ◽  
Vol 426-427 ◽  
pp. 643-647
Author(s):  
Bin Jiang ◽  
Wen Chao Xu ◽  
Wei Zhang ◽  
Min Li Zheng
Keyword(s):  
System Theory ◽  
High Speed ◽  
Structural Parameters ◽  
Grey System Theory ◽  
Structure Parameters ◽  
Grey System ◽  
Milling Cutter ◽  
High Speed Milling ◽  
The Impact ◽  
Safety And Stability

This work investigated safety and stability of high speed milling cutter using FEM and Penghuanwu discriminance, propounded safety and stability criterion of cutter, and analyzed absolute degree of incidence on safety and stability of cutter using grey system theory, the influence laws of structure parameters and their interaction on safety and stability of cutter were acquired. Experiments of idling and high speed milling were carried out, analyzed the impact degree of structural parameters on safety and stability of cutter, and results validated the dependability and validity of safety and stability cutting criterion.

A novel cryptosystem based on grey system theory and genetic algorithm

2005 ◽  
Vol 170 (2) ◽  
pp. 1290-1302 ◽  
Author(s):  
Victor R.L. Shen ◽  
Tzer-Shyong Chen ◽  
Kai-Quan Shai
Keyword(s):  
System Theory ◽  
Genetic Algorithm ◽  
Grey System Theory ◽  
Grey System

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

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