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Controlling Synchronization Patterns in Complex Networks

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...

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Main Author: Lehnert, Judith. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Physics.
Neural networks (Computer science) .
Physical chemistry.
Vibration.
Dynamical systems.
Dynamics.
System theory.
Applications of Graph Theory and Complex Networks.
Mathematical Models of Cognitive Processes and Neural Networks.
Physical Chemistry.
Vibration, Dynamical Systems, Control.
Systems Theory, Control.
Online Access:https://doi.org/10.1007/978-3-319-25115-8
Table of Contents:
  • Introduction
  • Complex Dynamical Networks
  • Synchronization In Complex Networks
  • Control of Synchronization Transitions by Balancing Excitatory and Inhibitory Coupling
  • Cluster and Group Synchrony: The Theory
  • Zero-Lag  and Cluster Synchrony: Towards Applications
  • Adaptive Control
  • Adaptive Time-Delayed Feedback Control
  • Adaptive Control of Cluster States in Network Motifs
  • Adaptive Topologies
  • Conclusion.

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