Modeling, Design, and Simulation of Systems with Uncertainties, Andreas Rauh; Ekaterina Auer
Автор: Hughes, Ifan Hase, Thomas Название: Measurements and their uncertainties ISBN: 019956633X ISBN-13(EAN): 9780199566334 Издательство: Oxford Academ Рейтинг: Цена: 4196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting.
Автор: Oxley, Alan Название: Uncertainties in GPS Positioning ISBN: 0128095946 ISBN-13(EAN): 9780128095942 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uncertainties in GPS Positioning: A Mathematical Discourse describes the calculations performed by a GPS receiver and the problems associated with ensuring that the derived location is a close match to the actual location. Inaccuracies in calculating a location can have serious repercussions, so this book is a timely source for information on this rapidly evolving technology.
Автор: Koziel Slawomir Название: Simulation-Driven Design Optimization and Modeling for Micro ISBN: 1848169167 ISBN-13(EAN): 9781848169166 Издательство: World Scientific Publishing Цена: 26136.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. This book reviews simulation-driven microwave design optimization and modeling. It also includes chapters highlighting the fundamentals of optimization and modeling, metaheuristics, and surrogate-based optimization techniques.
Описание: This book presents a comprehensive mathematical approach for solving stochastic magnetic field problems. It discusses variability in material properties and geometry, with an emphasis on the preservation of structural physical and mathematical properties. It especially addresses uncertainties in the computer simulation of magnetic fields originating from the manufacturing process. Uncertainties are quantified by approximating a stochastic reformulation of the governing partial differential equation, demonstrating how statistics of physical quantities of interest, such as Fourier harmonics in accelerator magnets, can be used to achieve robust designs. The book covers a number of key methods and results such as: a stochastic model of the geometry and material properties of magnetic devices based on measurement data; a detailed description of numerical algorithms based on sensitivities or on a higher-order collocation; an analysis of convergence and efficiency; and the application of the developed model and algorithms to uncertainty quantification in the complex magnet systems used in particle accelerators.
Описание: This book introduces modeling and simulation of linear time invariant systems and demonstrates how these translate to systems engineering, mechatronics engineering, and biomedical engineering. It is organized into nine chapters that follow the lectures used for a one-semester course on this topic, making it appropriate for students as well as researchers. The author discusses state space modeling derived from two modeling techniques and the analysis of the system and usage of modeling in control systems design. It also contains a unique chapter on multidisciplinary energy systems with a special focus on bioengineering systems and expands upon how the bond graph augments research in biomedical and bio-mechatronics systems.
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