On pinning synchronization of complex dynamical networks

By Wenwu Yu, Guanrong Chen, Jinhu Lu. 2009

1,018 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

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In Computer Networks and Communications

In Statistical and Nonlinear Physics

Citations in the corpus

Sampled-Data Synchronization Control of Dynamical Networks With Stochastic Sampling (2012, background): “The synchronization problem has recently been paid a great deal of efforts and some effective synchronization control schemes have been proposed for a variety of non-synchronous networks [1,6,15,17,18,20,21,23,25].”
Synchronization of Coupled Reaction-Diffusion Neural Networks with Time-Varying Delays via Pinning-Impulsive Controller (2013, background): “Many results concerning the pinning control strategy such as state feedback pinning control and adaptive pinning control have been derived in the literature (see, for instance, [11], [20], and [21]).”
Synchronization via Pinning Control on General Complex Networks (2013, methodology): “Here, only θ ≥ 0 is considered for simplicity; otherwise, the network is synchronized even without pinning control [54].”
Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics (2010, background): “Lemma 12 [ 38 ]: If L is irreducible, Lij = Lji ≥ 0 for i � j, and � N=1 Lij =0 for all i =1 , 2 ,...,N , then all eigenvalues”
Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems (2010, neutral): “…in press; Yu, Chen, Wang, & Yang, 2009), synchronization (Lü & Chen, 2005; Wu & Chua, 1995; Yu et al., 2009; Yu, Cao, & Lü, 2008; Yu, Chen, & Lü, 2009; Zhou, Lu, & Lü, 2006, 2008), and swarming and flocking (cid:73) The work of Yu and Chen was supported by the NSFC-HKRGC Joint Research…”
Synchronization in complex networks and its application - A survey of recent advances and challenges (2014, background): “The likelihood of acting as a driver node decreases with a node’s in-degree and is independent of its out-degree (Jia & Barabási, 2013; Liu et al., 2011; Tang et al., 2012a, 2012b, 2014c, 2012c; Yu et al., 2009).”
Sensitivity and Nonlinearity of Thermoacoustic Oscillations (2018, background): “Finally, the most sensitive points in the network (Yu et al. 2009) might be identified, aiding effective passive control.”