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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lehnert, Judith (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Graph theory.
Neural networks (Computer science) .
Physical chemistry.
Multibody systems.
Vibration.
Mechanics, Applied.
System theory.
Control theory.
Graph Theory.
Mathematical Models of Cognitive Processes and Neural Networks.
Physical Chemistry.
Multibody Systems and Mechanical Vibrations.
Systems Theory, Control .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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