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智能列車無人駕駛系統(英文版)/一帶一路鐵路國際人才教育叢書

  • 作者:編者:劉輝|責編:劉穎維|總主編:田紅旗//陳春陽
  • 出版社:中南大學
  • ISBN:9787548743521
  • 出版日期:2021/05/01
  • 裝幀:平裝
  • 頁數:314
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內容大鋼
    《智能列車無人駕駛系統(英文版)》詳細介紹智能列車無人駕駛性能評估、無人控制演算法的推理和學習策略、無人系統節能優化與控制和智能演算法模擬實驗平台等。提供了面向智能列車無人駕駛的核心理論與典型應用案例。本書填補了國際上該領域學術著作的空白,反映了該領域的最前沿進展。
    該書的出版提升了我國軌道交通與人工智慧學術研究在世界的影響力。本書為中南大學交通運輸學院組織編寫的「一帶一路」鐵路國際人才教育之一,適合來華學習交通運輸工程專業的學生使用,也可能同行業相關人員參考閱。

作者介紹
編者:劉輝|責編:劉穎維|總主編:田紅旗//陳春陽

目錄
Chapter 1 Introduction of Train Unmanned Driving System
  1.1  Overview of the train unmanned driving system
  1.2  The key issues of the unmanned driving system
  1.3  The scope of the book
  References
Chapter 2 Train Unmanned Driving System,and Its Comprehensive Performance Evaluation System
  2.1  Overview of the automatic train operation/automatic train protection/automatic train
supervision systems
  2.2  The performance indices of the train unmanned driving system
  2.3  The comprehensive performance evaluation methods of the train unmanned driving system
  References
Chapter 3 Train Unmanned Driving Algorithm Based on Reasoning and Learning Strategy
  3.1  The current status and technical progress of train unmanned controlling algorithm
  3.2  The connotation and composition of train unmanned driving algorithm
  3.3  Calculation process and analysis of train unmanned driving algorithm
  3.4  Conclusions
  References
Chapter 4 Identification of Main Control Parameters for Train Unmanned Driving System
  4.1  Common methods for driving control of main control parameter identification
  4.2  Train unmanned driving dynamic models
  4.3  Identification methods of train intelligent traction
  4.4  Conclusions
  References
Chapter 5 Data Mining and Processing for Train Unmanned Driving Systems
  5.1  Data mining and processing of manual driving modes
  5.2  Data mining and processing of automatic driving modes
  5.3  Data mining and processing of unmanned driving modes
  References
Chapter 6 Energy Saving Optimization and Control for Train Unmanned Driving Systems
  6.1  Technical status of train unmanned driving energy consumption analysis
  6.2  Single—target train energy saving and manipulation based on artificial intelligence
algorithm optimization
  6.3  Multi—objective train energy saving and control based on group artificial intelligence
  6.4  Conclusions
  References
Chapter 7 Unmanned Driving Intelligent Algorithm Simulation Platform
  7.1  Introduction of MATLAB/Simulink simulation platform
  7.2  Design method of train intelligent driving algorithm simulation platform
  7.3  Train automatic operation control model and programming
  7.4  Train intelligent driving algorithm simulation graphical user interface design standard
  7.5  Applications and case analysis of mainstream train unmanned driving systems
  References

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