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Titlebook: Controlling Synchronization Patterns in Complex Networks; Judith Lehnert Book 2016 Springer International Publishing Switzerland 2016 Adap

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發(fā)表于 2025-3-21 18:17:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Controlling Synchronization Patterns in Complex Networks
編輯Judith Lehnert
視頻videohttp://file.papertrans.cn/238/237533/237533.mp4
概述Nominated as an outstanding Ph.D. thesis by the Technische Universit?t Berlin, Germany.Gives a broad and comprehensive treatment of synchronization and its control in complex time-delayed networks.Int
叢書名稱Springer Theses
圖書封面Titlebook: Controlling Synchronization Patterns in Complex Networks;  Judith Lehnert Book 2016 Springer International Publishing Switzerland 2016 Adap
描述.This research aims to achieve a fundamental understanding of synchronization and its interplay with the topology of complex networks. Synchronization is a ubiquitous phenomenon observed in different contexts in physics, chemistry, biology, medicine and engineering. Most prominently, synchronization takes place in the brain, where it is associated with several cognitive capacities but is - in abundance - a characteristic of neurological diseases. Besides zero-lag synchrony, group and cluster states are considered, enabling a description and study of complex synchronization patterns within the presented theory. Adaptive control methods are developed, which allow the control of synchronization in scenarios where parameters drift or are unknown. These methods are, therefore, of particular interest for experimental setups or technological applications. The theoretical framework is demonstrated on generic models, coupled chemical oscillators and several detailed examples of neural networks..
出版日期Book 2016
關(guān)鍵詞Adaptive control; Adaptive networks; Adaptive time-delayed feedback control; Adaptive topologies; Cluste
版次1
doihttps://doi.org/10.1007/978-3-319-25115-8
isbn_softcover978-3-319-37090-3
isbn_ebook978-3-319-25115-8Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing Switzerland 2016
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沙發(fā)
發(fā)表于 2025-3-21 21:43:04 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:12:45 | 只看該作者
地板
發(fā)表于 2025-3-22 08:17:18 | 只看該作者
5#
發(fā)表于 2025-3-22 09:31:13 | 只看該作者
https://doi.org/10.1007/978-3-663-09106-6 because synchrony phenomena are ubiquitous in nature and engineering, as discussed in detail in Chap.?.. The stability analysis of synchrony in a complex network is a challenging problem due to the high dimensionality of the equations.
6#
發(fā)表于 2025-3-22 13:35:58 | 只看該作者
https://doi.org/10.1007/978-3-663-09107-3revious chapter, I have given an introduction to the master stability function (MSF) which allows for decoupling of the topology and the local dynamics. In this way the originally very high-dimensional problem is reduced to (i) solving the problem for one node with a rescaled coupling strength and (
7#
發(fā)表于 2025-3-22 17:56:58 | 只看該作者
Parallele und verteilte Konzepte, for zero-lag synchronization is that all nodes are identical and that the coupling delays are equal; see Sect.?.. For group synchrony, it is required that the nodes in one group are alike and that the delays for links coupling into the same group are the same; see Sect.?..
8#
發(fā)表于 2025-3-23 00:32:57 | 只看該作者
https://doi.org/10.1007/978-3-663-09110-3 the SG method in the control of networks, I discuss in this Chapter its application to uncoupled systems as a proof of principle of its wide applicability in the control of systems with time delay and to discuss its strengths and weaknesses. In particular, I show that the SG method can be used to t
9#
發(fā)表于 2025-3-23 02:59:50 | 只看該作者
https://doi.org/10.1007/978-3-663-09112-7e turned into an adaptive scheme with the help of the speed-gradient (SG) method. The aim of this chapter is to develop an adaptive controller for network motifs. More specifically, we want to control cluster synchronization in motifs of delay-coupled Stuart-Landau oscillators.
10#
發(fā)表于 2025-3-23 07:45:11 | 只看該作者
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