Pinning adaptive synchronization of a general complex dynamical network
By Jin Zhou, Junan Lu, Jinhu Lu. 2008
583 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
- Jinde Cao
- Guanrong Chen
- Wenwu Yu
- Jinhu Lu
- Jürgen Kurths
- Ju H. Park
- Yang-Yu Liu
- Albert-László Barabási
Citations in the corpus
- Distributed Higher Order Consensus Protocols in Multiagent Dynamical Systems (2011, background): “Consider a complex dynamical network consisting of identical nodes with linearly diffusive coupling [17], [27], [29], [31], [32], [35], [37], [ 38 ]”
- 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].”
- Synchronization via Pinning Control on General Complex Networks (2013, background): “To reduce the number of controlled vertices, some local feedback injections may be applied to a fraction of network vertices, which is known as pinning control [7, 9, 12, 15, 16, 17, 25, 26, 32, 33, 34, 38, 42, 43, 45, 46, 54, 62, 63].”
- Global synchronization of complex dynamical networks with network failures (2010, background): “Pinning control [ 9 ] is one of the interesting synchronization control strategies, in which only part of the nodes are under control.”
- Control Principles of Complex Networks (2015, methodology): “(i) Adaptation of control gains: To adapt the control gain κi (101), representing the ratio between the pinning function and output function, we choose the control input ui(t) = −δiκi(t)(xi(t) − s), and the control gains as (Wang et al., 2008; Zhou et al., 2008) κ̇i(t) = qi|ei(t)|.”
- Reaching a consensus via pinning control (2009, background): “For a general reference on pinning control see Li,Wang, andChen (2004), Xiang andChen (2006) and Zhou, Lu, and Lü (2006, 2008).”
- Synchronization of Coupled Reaction-Diffusion Neural Networks with Time-Varying Delays via Pinning-Impulsive Controller (2013, background): “Note that controllers in [11], [17], [20], [30], [31], and [32] are continuous state feedback or adaptive control, which demand that the states of controlled nodes and the goal dynamical system are known incessantly.”
- Synchronization of Complex Dynamical Networks With Time-Varying Delays Via Impulsive Distributed Control (2010, background): “Synchronization of complex networks is an important topic that has drawn a great deal of attentions [4]–[32], [35]–[38].”