Download Controlling Synchronization Patterns in Complex Networks by Judith Lehnert PDF

By Judith Lehnert

This study goals to accomplish a basic knowing of synchronization and its interaction with the topology of complicated networks. Synchronization is a ubiquitous phenomenon saw in several contexts in physics, chemistry, biology, drugs and engineering. so much prominently, synchronization happens within the mind, the place it's linked to numerous cognitive capacities yet is - in abundance - a attribute of neurological illnesses. in addition to zero-lag synchrony, crew and cluster states are thought of, allowing an outline and examine of advanced synchronization styles in the provided thought. Adaptive regulate equipment are constructed, which permit the keep an eye on of synchronization in eventualities the place parameters waft or are unknown. those equipment are, accordingly, of specific curiosity for experimental setups or technological functions. The theoretical framework is verified on universal types, coupled chemical oscillators and a number of other unique examples of neural networks.

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Extra resources for Controlling Synchronization Patterns in Complex Networks

Example text

G is the coupling matrix (see Sect. 1), and H is the coupling scheme determining which variables couple. H is taken to be the 2 × 2 identity matrix; this means that the x variable of node j at time t − τ is coupled to the x variable of node i at time t and analogously for the y variable but that there is no cross-coupling between the x and y variables.

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Omel’chenko, Chimera states are chaotic transients. Phys. Rev. E 84, 015201 (2011) M. E. Omel’chenko, S. Yanchuk, Y. Maistrenko, Spectral properties of chimera states. Chaos 21, 013112 (2011) A. Zakharova, M. Kapeller, E. Schöll, Chimera death: symmetry breaking in dynamical networks. Phys. Rev. Lett. 112, 154101 (2014) Part I Stability of Synchronization Chapter 3 Synchronization in Complex Networks In the previous chapter, complex dynamical networks have been introduced. One particularly interesting dynamical state on a network is synchronization because synchrony phenomena are ubiquitous in nature and engineering, as discussed in detail in Chap.

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