Symmetry in complex network systems : connecting equivariant bifurcation theory with engineering applications
著者
書誌事項
Symmetry in complex network systems : connecting equivariant bifurcation theory with engineering applications
（Understanding complex systems / founding editor, J.A. Scott Kelso）（Springer complexity）
Springer, c2018
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注記
Bibliography: p. 383-400
Includes index
内容説明・目次
内容説明
This book bridges the current gap between the theory of symmetry-based dynamics and its application to model and analyze complex systems. As an alternative approach, the authors use the symmetry of the system directly to formulate the appropriate models, and also to analyze the dynamics. Complex systems with symmetry arise in a wide variety of fields, including communication networks, molecular dynamics, manufacturing businesses, ecosystems, underwater vehicle dynamics, celestial and spacecraft dynamics and continuum mechanics. A general approach for their analysis has been to derive a detailed model of their individual parts, connect the parts and note that the system contains some sort of symmetry, then attempt to exploit this symmetry in order to simplify numerical computations. This approach can result in highly complicated models that are difficult to analyze even numerically. The alternative approach, while nonstandard, is not entirely new among the mathematics community. However, there is much less familiarity with the techniques of symmetry-breaking bifurcation, as they apply to the engineering, design and fabrication, of complex systems, in particular, nonlinear sensor devices with special emphasis on the conceptualization and development of new technologies of magnetic sensors such as fluxgate magnetometers and SQUID (Superconducting Quantum Interference Devices), E-- (electric-field) sensors, and communication and navigation systems that require multiple frequencies of operation, such as radar and antenna devices as well as gyroscopic systems.
目次
A Unifying Theme.- Coupled-Core Fluxgate Magnetometer.- Microelectric Field Sensor.- Superconductive Quantum Interference Devices (SQUID).- Frequency Conversion.- ANIBOT: Biologically-Inspired Animal Robot.- Gyroscope Systems.- Energy Harvesting.- Spin Torque Nano Oscillators.- Precision Timing.- References.
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