Finite-Time Cluster Synchronization of Network Systems under Pinning Control

2020 ◽  
Author(s):  
Yanzhou Li ◽  
Shenghuang He ◽  
Yuanqing Wu ◽  
Yongkang Lu
Keyword(s):  
Finite Time ◽  
Pinning Control ◽  
Cluster Synchronization ◽  
Network Systems

scholarly journals Finite-time cluster synchronization of coupled dynamical systems with impulsive effects

2017 ◽  
Vol 22 (11) ◽  
pp. 0-0
Author(s):  
Tianhu Yu ◽  
◽  
Jinde Cao ◽  
Chuangxia Huang ◽  
◽  
...  
Keyword(s):  
Dynamical Systems ◽  
Finite Time ◽  
Impulsive Effects ◽  
Cluster Synchronization

Decentralized Adaptive Pinning Control for Cluster Synchronization of Complex Dynamical Networks

2013 ◽  
Vol 43 (1) ◽  
pp. 394-399 ◽  
Author(s):  
Housheng Su ◽  
Zhihai Rong ◽  
Michael Z. Q. Chen ◽  
Xiaofan Wang ◽  
Guanrong Chen ◽  
...  
Keyword(s):  
Pinning Control ◽  
Complex Dynamical Networks ◽  
Cluster Synchronization ◽  
Dynamical Networks

scholarly journals Adaptive Cluster Synchronization for Nondelayed and Delayed Coupling Complex Networks with Nonidentical Nodes

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ze Tang ◽  
Jianwen Feng
Keyword(s):  
Sufficient Conditions ◽  
Pinning Control ◽  
Cluster Synchronization ◽  
Linear Matrix ◽  
Control Cost ◽  
Synchronization Problem ◽  
Delayed Coupling ◽  
Control Scheme ◽  
Successful Control ◽  
Synchronization Pattern

We focus on the cluster synchronization problem for a kind of general networks with nondelayed and delayed coupling. Based on the pinning control scheme, a small fraction of the nodes in each cluster are pinned for successful control, and the states of the whole dynamical networks can be globally forced to the objective cluster states. Sufficient conditions are derived to guarantee the realization of the cluster synchronization pattern for all initial values by means of the Lyapunov stability theorem and linear matrix inequalities (LMIs). By using the adaptive update law, relative smaller control gains are obtained, and hence the control cost can be substantially lower. Numerical simulations are also exploited to demonstrate the effectiveness and validity of the main result.

The Control of a Neural Complex Network

2014 ◽  
Vol 687-691 ◽  
pp. 444-446
Author(s):  
Fan Di Zhang
Keyword(s):  
Neural Network ◽  
Community Structure ◽  
Lyapunov Stability ◽  
Control Strategy ◽  
Sufficient Conditions ◽  
Lyapunov Stability Theory ◽  
Pinning Control ◽  
Projective Synchronization ◽  
Cluster Synchronization ◽  
Special Cases

In this paper, the synchronization of a neural network with community structure is investigated. Cluster projective generalizes previously existing synchronization schemes. The cluster projective synchronization is more general that includes projective synchronization and cluster synchronization, as its special cases. The cluster projective synchronization of these networks is discussed via some pinning control strategy. Several sufficient conditions for the network to achieve cluster projective synchronization are derived based on Lyapunov stability theory. Numerical simulations are used to demonstrate the effectiveness and feasibility of the proposed scheme.

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