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智能列車無人駕駛系統(tǒng)(英文版)

智能列車無人駕駛系統(tǒng)(英文版)

定 價(jià):¥80.00

作 者: 劉輝
出版社: 中南大學(xué)出版社有限責(zé)任公司
叢編項(xiàng):
標(biāo) 簽: 暫缺

ISBN: 9787548743521 出版時(shí)間: 2021-05-01 包裝: 平裝-膠訂
開本: 16開 頁數(shù): 314 字?jǐn)?shù):  

內(nèi)容簡介

  內(nèi)容摘要: 智能列車無人駕駛系統(tǒng)首次以書籍的形式呈現(xiàn)了智能鐵路和列車無人駕駛系統(tǒng)涉及的核心技術(shù),從基礎(chǔ)理論到進(jìn)展。本書作為該領(lǐng)域的參考書,介紹了該領(lǐng)域的關(guān)鍵技術(shù)、研究成果和前沿動(dòng)態(tài)。每一章都包含了一些實(shí)際案例,以支撐理論在實(shí)踐中的應(yīng)用。七個(gè)章節(jié)涵蓋了智能列車無人駕駛系統(tǒng)的關(guān)鍵方面,包括性能評(píng)估、基于算法的推理與學(xué)習(xí)策略、主要控制參數(shù)、數(shù)據(jù)挖掘與處理、節(jié)能優(yōu)化與控制、智能算法仿真平臺(tái)。這本書將幫助研究人員在開發(fā)更好的無人駕駛系統(tǒng)中找到解決方案。主要特點(diǎn):應(yīng)對(duì)智能鐵路的全球推廣和無人系統(tǒng)的工程應(yīng)用。涵蓋智能列車無人駕駛系統(tǒng)的核心技術(shù)。包括許多列車無人系統(tǒng)的案例研究和實(shí)驗(yàn)設(shè)計(jì)。采用學(xué)科交叉的多學(xué)科視角開展分析。涵蓋無人駕駛列車的基礎(chǔ)理論、前沿研究和實(shí)踐進(jìn)展。本書可作為交通運(yùn)輸工程、無人駕駛領(lǐng)域的研究生教材,也能為相關(guān)領(lǐng)域的研究人員和工程師提供重要參考。

作者簡介

暫缺《智能列車無人駕駛系統(tǒng)(英文版)》作者簡介

圖書目錄

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

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