Synchronization in complex networks and its application - A survey of recent advances and challenges

By Yang Tang, Feng Qian, Huijun Gao, Jürgen Kurths. Annual Reviews in Control, 2014

350 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/c6f2afc18466f25aeef59e9dfdd2e82b7748dbfd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yang Tang
2. Jürgen Kurths
3. Hamid Reza Karimi
4. Norbert Marwan
5. Cornelis J. Stam
6. Peng Shi

In Statistical and Nonlinear Physics

1. Jürgen Kurths
2. Yang Tang
3. Ljupco Kocarev
4. Hamid Reza Karimi
5. Norbert Marwan
6. Cornelis J. Stam

Citations in the corpus

• Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems (2016, background): “Among these problems, distributed tracking control of networks is extensively scattered in the literature by means of different methods, such as sliding-mode control, adaptive control, impulsive control and output-feedback control [3].”
• Cluster synchronization in nonlinear complex networks under sliding mode control (2016, background): “Synchronization processes are ubiquitous in nature and play a very important role in many different aspects such as biology, ecology, climatology, sociology, and technology [9–15].”
• Distributed impulsive synchronization of Lur'e dynamical networks via parameter variation methods (2018, neutral): “Ω = [ kL + αIN − Ξ 12 cW ∗ −βIN ] < 0; (11) ln δ Na − a + (b + p)δN0 < 0; (12) ln δ Na − a + (b + p)δ−N0 < 0; (13)”