智能列车无人驾驶系统（英文版）

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作　者：	刘辉
出版社：	中南大学出版社有限责任公司
丛编项：
标　签：	暂缺

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ISBN：	9787548743521	出版时间：	2021-05-01	包装：	平装-胶订
开本：	16开	页数：	314	字数：

内容简介

　　内容摘要：智能列车无人驾驶系统首次以书籍的形式呈现了智能铁路和列车无人驾驶系统涉及的核心技术，从基础理论到进展。本书作为该领域的参考书，介绍了该领域的关键技术、研究成果和前沿动态。每一章都包含了一些实际案例，以支撑理论在实践中的应用。七个章节涵盖了智能列车无人驾驶系统的关键方面，包括性能评估、基于算法的推理与学习策略、主要控制参数、数据挖掘与处理、节能优化与控制、智能算法仿真平台。这本书将帮助研究人员在开发更好的无人驾驶系统中找到解决方案。主要特点：应对智能铁路的全球推广和无人系统的工程应用。涵盖智能列车无人驾驶系统的核心技术。包括许多列车无人系统的案例研究和实验设计。采用学科交叉的多学科视角开展分析。涵盖无人驾驶列车的基础理论、前沿研究和实践进展。本书可作为交通运输工程、无人驾驶领域的研究生教材，也能为相关领域的研究人员和工程师提供重要参考。

作者简介

暂缺《智能列车无人驾驶系统（英文版）》作者简介

图书目录

Contents
Chapter 1 Introduction of Train Unmanned Driving System 1
1.1 Overview of the train unmanned driving system 1
1.2 The key issues of the unmanned driving system 20
1.3 The scope of the book33
References 36
Chapter 2 Train Unmanned Driving System and Its Comprehensive Performance Evaluation
System 44
2.1 Overview of the automatic train operation/automatic train protection/automatic train supervision systems 44
2.2 The performance indices of the train unmanned driving system 72
2.3 The comprehensive performance evaluation methods of the train unmanned driving system 80
References 88
Chapter 3 Train Unmanned Driving Algorithm Based on Reasoning and Learning Strategy 93
3.1 The current status and technical progress of train unmanned controlling algorithm 93
3.2 The connotation and composition of train unmanned driving algorithm 97
3.3 Calculation process and analysis of train unmanned driving algorithm 108
3.4 Conclusions129
References 130
Chapter 4 Identification of Main Control Parameters for Train Unmanned Driving System 140
4.1 Common methods for driving control of main control parameter identification 140
4.2 Train unmanned driving dynamic models 154
4.3 Identification methods of train intelligent traction 161
4.4 Conclusions184
References 185
Chapter 5 Data Mining and Processing for Train Unmanned Driving Systems 192
5.1 Data mining and processing of manual driving modes 192
5.2 Data mining and processing of automatic driving modes 207
5.3 Data mining and processing of unmanned driving modes 212
References 226
Chapter 6 Energy Saving Optimization and Control for Train Unmanned Driving Systems 230
6.1 echnical status of train unmanned driving energy consumption analysis 230
6.2 Singletarget train energy saving and manipulation based on artificial intelligence algorithm optimization 246
6.3 Multiobjective train energy saving and control based on group artificial intelligence 256
6.4 Conclusions 264
References 265
Chapter 7 Unmanned Driving Intelligent Algorithm Simulation Platform 270
7.1 Introduction of MATLAB/Simulink simulation platform 270
7.2 Design method of train intelligent driving algorithm simulation platform 277
7.3 Train automatic operation control model and programming 282
7.4 Train intelligent driving algorithm simulation graphical user interface design standard 286
7.5 Applications and case analysis of mainstream train unmanned driving systems 291
References 306