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Design and Control of Hybrid Brake-by-Wire System for Autonomous Vehicle, Hu Donghai


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Цена: 22359.00р.
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Автор: Hu Donghai
Название:  Design and Control of Hybrid Brake-by-Wire System for Autonomous Vehicle
ISBN: 9789811689451
Издательство: Springer
Классификация:


ISBN-10: 9811689458
Обложка/Формат: Hardcover
Страницы: 160
Вес: 0.40 кг.
Дата издания: 23.01.2022
Серия: Key technologies on new energy vehicles
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 72 illustrations, color; 20 illustrations, black and white; ix, 149 p. 92 illus., 72 illus. in color.
Размер: 23.39 x 15.60 x 1.12 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book establishes the models of the electric motor, the hydraulic compound brake system, and the electromagnetic and friction integrated brake system. Considering the two principles on safety and energy saving, it proposes a hybrid brake-by-wire system optimization design method and proposes the optimization method of braking force distribution in different braking modes. The methodology of the book is by using the common Lyapunov function to analyze the stability of the braking mode switching process and designs the braking mode switching controller of the hybrid braking system. The selection of materials provides readers with some guidance in the future design and control of hybrid drive-by-wire systems for autonomous vehicles
Дополнительное описание: Development of Hybrid Brake-by-Wire System for Autonomous Vehicle.- Current Study on Hybrid Brake-by-Wire System for Autonomous Vehicle.- Modeling of Hybrid Brake-by-Wire System for Autonomous Vehicle.- Design of Brake-by-Wire System for Autonomous Vehicl



Brakes, Brake Control and Driver Assistance Systems

Автор: Konrad Reif
Название: Brakes, Brake Control and Driver Assistance Systems
ISBN: 3658039779 ISBN-13(EAN): 9783658039776
Издательство: Springer
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Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Braking systems have been continuously developed and improved throughout the last years. Major milestones were the introduction of antilock braking system (ABS) and electronic stability program. This reference book provides a detailed description of braking components and how they interact in electronic braking systems.

The Mechanics of Jointed Structures

Автор: Matthew R.W. Brake
Название: The Mechanics of Jointed Structures
ISBN: 3319568167 ISBN-13(EAN): 9783319568164
Издательство: Springer
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Цена: 32142.00 р.
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Описание:

This book introduces the challenges inherent in jointed structures and guides researchers to the still-open, pressing challenges that need to be solved to advance this critical field. The authors cover multiple facets of interfacial mechanics that pertain to jointed structures: tribological modeling and measurements of the interface surfaces, constitutive modeling of joints, numerical reduction techniques for structures with joints, and uncertainty quantification and propagation for these structures. Thus, the key subspecialties addressed are model reduction for nonlinear systems, uncertainty quantification, constitutive modeling of joints, and measurements of interfacial mechanics properties (including tribology). The diverse contributions to this volume fill a much needed void in the literature and present to a new generation of joints researchers the potential challenges that they can engage in in order to advance the state of the art.

  • Clearly defines internationally recognized challenges in joint mechanics/jointed structures and provides a comprehensive assessment of the state-of-the-art for joint modeling;
  • Identifies open research questions facing joint mechanics;
  • Details methodologies for accounting for uncertainties (due both to missing physics and variability) in joints;
  • Explains and illustrates best-practices for measuring joints' properties experimentally;
  • Maximizes reader understanding of modeling joint dynamics with a comparison of multiple approaches.
Clutches and Brakes: Design and Selection (Dekker Mechanical Engineering)

Автор: William C. Orthwein
Название: Clutches and Brakes: Design and Selection (Dekker Mechanical Engineering)
ISBN: 082474876X ISBN-13(EAN): 9780824748760
Издательство: Taylor&Francis
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Цена: 39811.00 р.
Наличие на складе: Нет в наличии.

Описание: Gathering formulas, analytical methods, and graphs for the design and selection of a variety of brakes and clutches in the automotive, aircraft, farming, and manufacturing industries, this work simplifies calculations, acquaints engineers with a range of application, and assists in the selection of parameters for specific design challenges.

Autonomous Systems and Intelligent Agents in Power System Control and Operation

Автор: Christian Rehtanz
Название: Autonomous Systems and Intelligent Agents in Power System Control and Operation
ISBN: 3642072909 ISBN-13(EAN): 9783642072901
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems.

Control System Design based on Exact Model Matching Techniques

Автор: Kunihiko Ichikawa
Название: Control System Design based on Exact Model Matching Techniques
ISBN: 3540157727 ISBN-13(EAN): 9783540157724
Издательство: Springer
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Цена: 14365.00 р.
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Hybrid Electric Vehicle Design and Control: Intelligent Omni

Автор: Xu Yangsheng
Название: Hybrid Electric Vehicle Design and Control: Intelligent Omni
ISBN: 0071826831 ISBN-13(EAN): 9780071826839
Издательство: McGraw-Hill
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Цена: 25395.00 р.
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Описание: An in-depth guide to the design and control of hybrid electric vehicles, covering vehicle electronics, advanced control, powertrain management, battery and energy management, and artificial intelligence

Creating Autonomous Vehicle Systems

Автор: Liu Shaoshan, Li Liyun, Tang Jie
Название: Creating Autonomous Vehicle Systems
ISBN: 1681739372 ISBN-13(EAN): 9781681739373
Издательство: Mare Nostrum (Eurospan)
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Цена: 13583.00 р.
Наличие на складе: Нет в наличии.

Описание:

This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map--in addition to training better recognition, tracking, and decision models.

Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled "Teaching and Learning from this Book" was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects.

This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find extensive references for an effective, deeper exploration of the various technologies.

Creating Autonomous Vehicle Systems

Автор: Liu Shaoshan, Li Liyun, Tang Jie
Название: Creating Autonomous Vehicle Systems
ISBN: 1681739356 ISBN-13(EAN): 9781681739359
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 10672.00 р.
Наличие на складе: Нет в наличии.

Описание:

This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map--in addition to training better recognition, tracking, and decision models.

Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled "Teaching and Learning from this Book" was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects.

This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find extensive references for an effective, deeper exploration of the various technologies.

Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects

Автор: Kuutti Sampo, Fallah Saber, Bowden Richard
Название: Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects
ISBN: 1681736071 ISBN-13(EAN): 9781681736075
Издательство: Mare Nostrum (Eurospan)
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Цена: 6237.00 р.
Наличие на складе: Нет в наличии.

Описание: The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest. In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field.

Nonlinear Control Technology of Vehicle Chassis-by-Wire System

Автор: Zhao Wanzhong, Wang Chunyan
Название: Nonlinear Control Technology of Vehicle Chassis-by-Wire System
ISBN: 9811673217 ISBN-13(EAN): 9789811673214
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book belongs to the field of intelligent vehicle control, which is dedicated to the research of nonlinear control problems of intelligent vehicle chassis-by-wire systems.

Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects

Автор: Kuutti Sampo, Fallah Saber, Bowden Richard
Название: Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects
ISBN: 1681736160 ISBN-13(EAN): 9781681736167
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 8593.00 р.
Наличие на складе: Нет в наличии.

Описание: The CAFE system has changed the way teachers assess, teach, and track student information, and positively impacted the way students learn. This updated, second edition demonstrates that reading instruction is not about the setting, the basal, or the book level. Rather, effective reading instruction is based on what the student needs in the moment.

Computer-aided Nonlinear Control System Design

Автор: Amir Nassirharand
Название: Computer-aided Nonlinear Control System Design
ISBN: 1447159861 ISBN-13(EAN): 9781447159865
Издательство: Springer
Рейтинг:
Цена: 14365.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A systematic computer-aided approach provides a versatile setting for the control engineer to overcome the complications of controller design for highly nonlinear systems. This book provides such an approach based on the use of describing functions.


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