Decision Making, Planning, and Control Strategies for Intelligent Vehicles, Cao, Haotian Li, Mingjun Zhao, Song Song, Xiaolin
Автор: Valavanis Kimon P. Название: Advances in Unmanned Aerial Vehicles / State of the Art and the Road to Autonomy ISBN: 1402061137 ISBN-13(EAN): 9781402061134 Издательство: Springer Рейтинг: Цена: 191560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: There has been tremendous emphasis in unmanned aerial vehicles, both of fixed (airplanes) and rotary wing (vertical take off and landing, helicopters) types over the past ten years. Applications span both civilian and military domains, the latter being the most important at this stage.
Автор: Kimon P. Valavanis Название: Advances in Unmanned Aerial Vehicles ISBN: 9048175402 ISBN-13(EAN): 9789048175406 Издательство: Springer Рейтинг: Цена: 174130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The past decade has seen tremendous interest in the production and refinement of unmanned aerial vehicles, both fixed-wing, such as airplanes and rotary-wing, such as helicopters and vertical takeoff and landing vehicles.
Автор: Amir Taghavipour; Mahyar Vajedi; Nasser L. Azad Название: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles ISBN: 3030003132 ISBN-13(EAN): 9783030003135 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Поставка под заказ. Описание: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Автор: Amir Taghavipour; Mahyar Vajedi; Nasser L. Azad Название: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles ISBN: 3030131017 ISBN-13(EAN): 9783030131012 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Поставка под заказ. Описание: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Автор: Mohamed Elhoseny; Aboul Ella Hassanien Название: Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks ISBN: 3030227723 ISBN-13(EAN): 9783030227722 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses vehicular communication systems, IoT, intelligent transportation systems and the Internet of Vehicles, and also introduces destination marketing in a structured manner. It is primarily intended for research students interested in emerging technologies for connected Internet of Vehicles and intelligent transportation system networks; academics in higher education institutions, including universities and vocational colleges; IT professionals; policy makers; and legislators. The book can also be used as a reference resource for both undergraduate and graduate studies. Written in plain and simple language, it describes new concepts so that they are accessible to readers without prior knowledge of the field.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Автор: Nishchal K. Verma; Al Salour Название: Intelligent Condition Based Monitoring ISBN: 981150511X ISBN-13(EAN): 9789811505119 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.
Автор: Simona Onori; Lorenzo Serrao; Giorgio Rizzoni Название: Hybrid Electric Vehicles ISBN: 1447167791 ISBN-13(EAN): 9781447167792 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle's power is provided by each source instant by instant.
Hybrid Electric Vehicles
-introduces methods for modeling energy flow in hybrid electric vehicles;
-presents a standard mathematical formulation of the optimal control problem;
-discusses different optimization and control strategies for energy management, integrating the most recent research results; and
-carries out an overall comparison of the different control strategies presented.
Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.
Автор: Jacques Periaux; Felipe Gonzalez; Dong Seop Chris Название: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design ISBN: 9401776989 ISBN-13(EAN): 9789401776981 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies.This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization.
Автор: Muhammad Alam; Joaquim Ferreira; Jos? Fonseca Название: Intelligent Transportation Systems ISBN: 331928181X ISBN-13(EAN): 9783319281810 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents cutting-edge work onthe most challenging research issues concerning intelligent transportationsystems (ITS), introducing selected, highly relevant advanced research onscheduling and real-time communication for vehicular networks, as well as faulttolerance, test beds and simulations for ITS.
Автор: Aleksander S?adkowski; Wies?aw Pamu?a Название: Intelligent Transportation Systems – Problems and Perspectives ISBN: 3319370251 ISBN-13(EAN): 9783319370255 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a discussion of problems encountered in the deployment of Intelligent Transport Systems (ITS). These are freight transport, rail transport and aerospace transport encompassing also space stations.
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