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Embedded Mechatronics System Design for Uncertain Environments, Chin Cheng Siong


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Цена: 28163.00р.
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Автор: Chin Cheng Siong
Название:  Embedded Mechatronics System Design for Uncertain Environments
ISBN: 9781785613227
Издательство: Institution of Engineering & Technology
Классификация:

ISBN-10: 1785613227
Обложка/Формат: Hardcover
Страницы: 600
Вес: 0.86 кг.
Дата издания: 27.12.2018
Язык: English
Размер: 236 x 163 x 31
Поставляется из: США
Описание:

Industrial machines, automobiles, airplanes, robots, and machines are among the myriad possible hosts of embedded systems. The author researches robotic vehicles and remote operated vehicles (ROVs), especially Underwater Robotic Vehicles (URVs), used for a wide range of applications such as exploring oceans, monitoring environments, and supporting operations in extreme environments.

Embedded Mechatronics System Design for Uncertain Environments has been prepared for those who seek to easily develop and design embedded systems for control purposes in robotic vehicles. It reflects the multi-disciplinarily of embedded systems from initial concepts (mechanical and electrical) to the modelling and simulation (mathematical relationships), creating graphical-user interface (software) and their actual implementations (mechatronics system testing). The author proposes new solutions for the prototyping, simulation, testing, and design of real-time systems using standard PC hardware including Linux, Raspbian, Arduino, and MATLAB xPC Target.




Can Singapore Fall?: Making the Future for Singapore

Автор: Lim Siong Guan
Название: Can Singapore Fall?: Making the Future for Singapore
ISBN: 9813238623 ISBN-13(EAN): 9789813238626
Издательство: World Scientific Publishing
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Цена: 3960.00 р.
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Описание: Network science offers a powerful language to represent and study complex systems composed of interacting elements -- from the Internet to social and biological systems. In its standard formulation, this framework relies on the assumption that the underlying topology is static, or changing very slowly as compared to dynamical processes taking place on it, e.g., epidemic spreading or navigation. Fuelled by the increasing availability of longitudinal networked data, recent empirical observations have shown that this assumption is not valid in a variety of situations. Instead, often the network itself presents rich temporal properties and new tools are required to properly describe and analyse their behaviour.A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks, and provides connections between different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology.


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