Controlling Synchronization Patterns in Complex Networks

Nominated as an outstanding Ph.D. thesis by the Technische Universität Berlin, Germany Gives a broad and comprehensive treatment of synchronization and its control in complex time-delayed networks Introduces, studies, and compares several adaptive control methods to stabilize cluster synchronization Studies the control of synchronization in neural networks on several detailed examples Includes supplementary material: sn.pub/extras

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