Controlling Synchronization Patterns in Complex Networks

• Main Author: Lehnert, Judith (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: Physics.; Physical chemistry.; System theory.; Neural networks (Computer science).; Vibration.; Dynamical systems.; Dynamics.; Applications of Graph Theory and Complex Networks.; Mathematical Models of Cognitive Processes and Neural Networks.; Physical Chemistry.; Vibration, Dynamical Systems, Control.; Systems Theory, Control.

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...

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.