Global Synchronization of Linearly Hybrid Coupled Networks with Time-Varying Delay

By Wenwu Yu, Jinde Cao, Jinhu Lu. 2008

342 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Molecular Biology

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. Guanrong Chen
2. Wenwu Yu
3. Wei Ren
4. Jinde Cao
5. Jürgen Kurths
6. Huijun Gao
7. Jinhu Lu
8. Zidong Wang

In Molecular Biology

1. Wenwu Yu
2. Guanrong Chen
3. Jinhu Lu
4. Ming Cao
5. Jürgen Kurths
6. Jinde Cao
7. Zidong Wang
8. Wei Ren

Citations in the corpus

• An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, methodology): “graph theory [101] is a common approach to use. Because of the nonlinear terms in synchronization of complex networks, Lyapunov function method is usually used together with matrix theory [61], [95], [100]. In order to show consensus in multi-agent systems with time-varying network structures, stoch”
• Local Synchronization of a Complex Network Model (2009, methodology): “In this paper, we study the local synchronization of the model (15) based on the synchronization manifold method proposed mainly in our paper [44] and the references therein.”
• Synchronization via Pinning Control on General Complex Networks (2013, methodology): “[1, 8, 18, 19, 36, 37, 48, 49, 56, 58, 60, 61] and consensus [6, 51, 52, 53, 55, 59, 64] in very large-scale complex networks.”
• Distributed Consensus Filtering in Sensor Networks (2009, background): “More recently, a general criterion has been given in [23] by using linear matrix inequality (LMI) techniques.”
• Distributed Higher Order Consensus Protocols in Multiagent Dynamical Systems (2011, background): “…been achieved in the study of collective behaviors of multiagent dynamical systems, such as consensus [4], [9], [10], [13], [18], [21]–[24], [33], [34], [36], synchronization [1], [5], [6], [14], [16], [17], [20], [27], [29], [31], [32], [35], [37], [38], and swarming and flocking [19], [25], [26].”
• Synchronization of Complex Dynamical Networks With Time-Varying Delays Via Impulsive Distributed Control (2010, background): “Inspired by [12], [18], the following lemma is given.”
• Consensus in Directed Networks of Agents With Nonlinear Dynamics (2011, background): “However, many existing tools developed for the study of synchronization in complex networks can only be applied to undirected networks.”
• Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics (2010, background): “This scenario arises naturally when agents have intrinsic nonlinear dynamics [4], [17], [18], [21], [29]–[32], [34], [35], [38], [42], [43].”
• Second-order consensus in multi-agent dynamical systems with sampled position data (2011, neutral): “Yu et al. / Automatica 47 (2011) 1496–1503 1497”
• Distributed control gains design for consensus in multi-agent systems with second-order nonlinear dynamics (2013, neutral): “System (29) is chaotic when ς = 10, ϱ = 18, a = −4/3, and b = −3/4, as shown in Yu, Cao, and Lü (2008).”
• On pinning synchronization of complex dynamical networks (2009, background): “A general criterion was given in Yu et al. (2008), where the network sizes can be extended to be much larger compared to those very small ones studied in Cao”
• New Delay-Dependent Exponential $H_{\infty}$ Synchronization for Uncertain Neural Networks With Mixed Time Delays (2010, background): “A feasible coupling design for successful synchronization leads us to fully command the intrinsic mechanism regulating the evolution of real systems, to fabricate emulate systems, and even to remotely control the machines and nodes in networks with large scales [6], [17], [20], [24], [ 53 ].”