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Titlebook: Synchronization in Networks of Nonlinear Circuits; Essential Topics wit Mattia Frasca,Lucia Valentina Gambuzza,Luigi Fortu Book 2018 The Au

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發(fā)表于 2025-3-25 06:02:07 | 只看該作者
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發(fā)表于 2025-3-25 09:53:48 | 只看該作者
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發(fā)表于 2025-3-25 17:09:12 | 只看該作者
Mattia Frasca,Lucia Valentina Gambuzza,Arturo Buscarino,Luigi Fortunaical fiber smartphone spectrometer was customized further by integrating an array of UV LEDs for fluorescence measurements while powering the entire system using the smartphone’s battery, retaining the self-powered credential of the device. Using the instrument, visible fluorescence spectra were mea
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發(fā)表于 2025-3-25 21:52:07 | 只看該作者
Book 2018ing the major measures, the stability properties and control techniques. The book then moves on to advanced topics in synchronization of complex networks by examining forms of synchronization in which not all the units share the same trajectory, namely chimera states, clustering synchronization, and
26#
發(fā)表于 2025-3-26 03:20:18 | 只看該作者
Introduction,inear systems and on complex networks, and define the differential equations representing the dynamics of a nonlinear system. These are the ingredients needed for the study of synchronization in complex networks that will be dealt with in the next chapters.
27#
發(fā)表于 2025-3-26 08:18:42 | 只看該作者
Chimera States,s breaking the symmetry of the structure. We discuss illustrative examples, control techniques, and experimental observations of these states, with particular focus on those performed on networks of electronic circuits.
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發(fā)表于 2025-3-26 10:03:16 | 只看該作者
Synchronization in Time-Varying Networks,e in time. We analyze global synchronization in two relevant cases: when the time-dependence derives from motion of agents and when it is induced by a pattern of activity. Finally, we illustrate the onset of chimera states in a time-varying topology.
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發(fā)表于 2025-3-26 15:32:04 | 只看該作者
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發(fā)表于 2025-3-26 19:30:54 | 只看該作者
Conclusive Remarks,counts for the interactions among the system units. Despite each unit has its own intrinsic dynamics, which can differ from that of the other system elements, the presence of the interactions may generate the onset of a collective synchronous status, where all the units agree to follow a common behavior.
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