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Theory and Applications of Multi-Tethers in Space (Springer Tracts in Mechanical Engineering)

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This book offers a comprehensive overview of recently developed space multi-tethers, such as maneuverable space tethered nets and space tethered formation. For each application, it provides detailed derivatives to describe and analyze the mathematical model of the system, and then discusses the design and proof of different control schemes for various problems. The dynamics modeling presented is based on Newton and Lagrangian mechanics, and the book also introduces Hamilton mechanics and Poincaré surface of section for dynamics analysis, and employs both centralized and distributed controllers to derive the formation question of the multi-tethered system. In addition to the equations and text, it includes 3D design drawings, schematic diagrams, control scheme blocks and tables to make it easy to understand.
This book is intended for researchers and graduate students in the fields of astronautics, control science, and engineering.


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Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor
Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor

Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of...

Building a Cashless Society: The Swedish Route to the Future of Cash Payments (SpringerBriefs in Economics)
Building a Cashless Society: The Swedish Route to the Future of Cash Payments (SpringerBriefs in Economics)

This open access book tells the story of how Sweden is becoming a virtually cashless society. Its goal is to improve readers’ understanding of what is driving this transition, and of the factors that are fostering and hampering it. In doing so, the book covers the role of central banks, political factors, needs for innovation,...

Persistent Creativity: Making the Case for Art, Culture and the Creative Industries (Sociology of the Arts)
Persistent Creativity: Making the Case for Art, Culture and the Creative Industries (Sociology of the Arts)

Recent years have seen the increasing valuation and promotion of ‘creativity’. Future success, we are often assured, will rest on the creativity of our endeavours, often aligned specifically with ‘cultural’ activity. This book considers the emergence and persistence of this pattern, particularly with regards...


Mathematics of Shapes and Applications (Lecture Notes, Institute for Masthematical Sciences, National University of Singapore)
Mathematics of Shapes and Applications (Lecture Notes, Institute for Masthematical Sciences, National University of Singapore)
Understanding how a single shape can incur a complex range of transformations, while defining the same perceptually obvious figure, entails a rich and challenging collection of problems, at the interface between applied mathematics, statistics and computer science. The program on Mathematics of Shapes and Applications, was held at the Institute...
Mathematical Modelling, Optimization, Analytic and Numerical Solutions (Industrial and Applied Mathematics)
Mathematical Modelling, Optimization, Analytic and Numerical Solutions (Industrial and Applied Mathematics)

This book discusses a variety of topics related to industrial and applied mathematics, focusing on wavelet theory, sampling theorems, inverse problems and their applications, partial differential equations as a model of real-world problems, computational linguistics, mathematical models and methods for meteorology, earth systems,...

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. 

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0.
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