Titlebook: Controlling Synchronization Patterns in Complex Networks; Judith Lehnert Book 2016 Springer International Publishing Switzerland 2016 Adap

不幸的人

多骨

Zero-Lag and Cluster Synchrony: Towards Applications for zero-lag synchronization is that all nodes are identical and that the coupling delays are equal; see Sect.?.. For group synchrony, it is required that the nodes in one group are alike and that the delays for links coupling into the same group are the same; see Sect.?..

運(yùn)氣

Adaptive Time-Delayed Feedback Control the SG method in the control of networks, I discuss in this Chapter its application to uncoupled systems as a proof of principle of its wide applicability in the control of systems with time delay and to discuss its strengths and weaknesses. In particular, I show that the SG method can be used to t

Liability

Adaptive Control of Cluster States in Network Motifse turned into an adaptive scheme with the help of the speed-gradient (SG) method. The aim of this chapter is to develop an adaptive controller for network motifs. More specifically, we want to control cluster synchronization in motifs of delay-coupled Stuart-Landau oscillators.

侵略者

Conclusionthe dynamical patterns include zero-lag as well as group and cluster synchronization. In the first part, I have studied the stability of different synchronization patterns, while the second part has focused on the adaptive control of these dynamical states. Besides developing a theoretical framework

安定

2190-5053 ization and its control in complex time-delayed networks.Int.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,

Lipohypertrophy

Mammal

Atrium

https://doi.org/10.1007/978-3-663-09110-3ility in the control of systems with time delay and to discuss its strengths and weaknesses. In particular, I show that the SG method can be used to turn . (TDFC) and . (ETDFC) into an adaptive control scheme by tuning of the coupling strength. This scheme was developed in Guzenko et?al. (.) and Lehnert et?al. (.).

arthrodesis

Conclusion, I have investigated neural networks as applications, where I have considered generic neural models like the FitzHugh-Nagumo or the SNIPER (saddle-node infinite period bifurcation) model as well as more sophisticated models like the adaptive exponential integrate-and-fire model.