书目名称 | Controlling Synchronization Patterns in Complex Networks | 编辑 | Judith Lehnert | 视频video | http://file.papertrans.cn/238/237533/237533.mp4 | 概述 | Nominated as an outstanding Ph.D. thesis by the Technische Universität Berlin, Germany.Gives a broad and comprehensive treatment of synchronization and its control in complex time-delayed networks.Int | 丛书名称 | Springer Theses | 图书封面 |  | 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 | 关键词 | Adaptive control; Adaptive networks; Adaptive time-delayed feedback control; Adaptive topologies; Cluste | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-25115-8 | isbn_softcover | 978-3-319-37090-3 | isbn_ebook | 978-3-319-25115-8Series ISSN 2190-5053 Series E-ISSN 2190-5061 | issn_series | 2190-5053 | copyright | Springer International Publishing Switzerland 2016 |
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