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Real-Time Road Profile Identification and Monitoring: Theory and Application, Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang


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Автор: Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang
Название:  Real-Time Road Profile Identification and Monitoring: Theory and Application
ISBN: 9781681734835
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1681734834
Обложка/Формат: Hardback
Страницы: 148
Вес: 0.48 кг.
Дата издания: 30.01.2019
Серия: Engineering
Язык: English
Размер: 235 x 191 x 10
Ключевые слова: Artificial intelligence,Technology: general issues,Automotive technology & trades, COMPUTERS / Intelligence (AI) & Semantics,TECHNOLOGY & ENGINEERING / Automotive,TECHNOLOGY & ENGINEERING / General
Поставляется из: Англии
Описание: Ever stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.

Real-Time Road Profile Identification and Monitoring: Theory and Application

Автор: Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang
Название: Real-Time Road Profile Identification and Monitoring: Theory and Application
ISBN: 1681734818 ISBN-13(EAN): 9781681734811
Издательство: Mare Nostrum (Eurospan)
Цена: 61910.00 T
Наличие на складе: Невозможна поставка.
Описание: Ever stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.

Quantum Computing:An Environment for Intelligent Large Scale Real Application

Автор: Aboul Ella Hassanien; Mohamed Elhoseny; Janusz Kac
Название: Quantum Computing:An Environment for Intelligent Large Scale Real Application
ISBN: 3319636383 ISBN-13(EAN): 9783319636382
Издательство: Springer
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Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies.

Analysis and Identification of Time-Invariant Systems, Time-Varying Systems, and Multi-Delay Systems using Orthogonal Hybrid Functions

Автор: Anish Deb; Srimanti Roychoudhury; Gautam Sarkar
Название: Analysis and Identification of Time-Invariant Systems, Time-Varying Systems, and Multi-Delay Systems using Orthogonal Hybrid Functions
ISBN: 3319266829 ISBN-13(EAN): 9783319266824
Издательство: Springer
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Цена: 130610.00 T
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Описание: Non-Sinusoidal Orthogonal Functions in Systems and Control.- Hybrid Function (HF) and Its Properties.- Function Approximation via Hybrid Functions.- Integration and Differentiation Using HF Domain Operational Matrices.- One-Shot Operational Matrices for Integration.- Solution of Linear Differential Equations.- Convolution of Time Functions.- Time Invariant System Analysis: State Space Approach.- Time Varying System Analysis: State Space Approach.- Multi-Delay System Analysis: State Space Approach.- Time Invariant System Analysis: Method of Convolution.- System Identification using State Space Approach: Time Invariant Systems.- System Identification using State Space Approach: Time Varying Systems.- Time Invariant System Identification: via 'Deconvolution'.- System Identification: Parameter Estimation of Transfer Function.


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