Pinning Synchronization for a General Complex Networks with Multiple Time-Varying Coupling Delays

Neural Processing Letters ◽

10.1007/s11063-012-9213-5 ◽

2012 ◽

Vol 35 (3) ◽

pp. 221-231 ◽

Author(s):

Dawei Gong ◽

Huaguang Zhang ◽

Zhanshan Wang ◽

Bonan Huang

Keyword(s):

Complex Networks ◽

Multiple Time ◽

Time Varying ◽

General Complex

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Lag synchronization analysis of general complex networks with multiple time-varying delays via pinning control strategy

Neural Computing and Applications ◽

10.1007/s00521-017-2978-8 ◽

2017 ◽

Vol 31 (1) ◽

pp. 43-53 ◽

Author(s):

Xin Wang ◽

Kun She ◽

Shouming Zhong ◽

Huilan Yang

Keyword(s):

Complex Networks ◽

Control Strategy ◽

Pinning Control ◽

Multiple Time ◽

Time Varying ◽

Lag Synchronization ◽

General Complex

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Pinning synchronization of complex networks with time-varying outer coupling and nonlinear multiple time-varying delay coupling

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2021.126564 ◽

2021 ◽

pp. 126564

Author(s):

Hai Lin ◽

Jingcheng Wang

Keyword(s):

Complex Networks ◽

Multiple Time ◽

Time Varying ◽

Time Varying Delay ◽

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Stability analysis of impulsive parabolic complex networks with multiple time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2012.05.024 ◽

2012 ◽

Vol 97 ◽

pp. 364-373 ◽

Author(s):

Jin-Liang Wang ◽

Huai-Ning Wu ◽

Lei Guo

Keyword(s):

Stability Analysis ◽

Complex Networks ◽

Multiple Time ◽

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Synchronization of Uncertain Complex Networks with Time-Varying Node Delay and Multiple Time-Varying Coupling Delays

Asian Journal of Control ◽

10.1002/asjc.1539 ◽

2017 ◽

Vol 20 (1) ◽

pp. 186-195 ◽

Author(s):

Chuan Zhang ◽

Xingyuan Wang ◽

Chunpeng Wang ◽

Wenjie Zhou

Keyword(s):

Complex Networks ◽

Multiple Time ◽

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Exponential Topology Identification of General Complex Networks with Time-Varying Delay via Periodically Intermittent Control

2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics ◽

10.1109/ihmsc.2013.128 ◽

2013 ◽

Author(s):

Shuangtao Wang ◽

Minghui Jiang ◽

Jun Mei ◽

Jiali Han

Keyword(s):

Complex Networks ◽

Intermittent Control ◽

Time Varying ◽

Periodically Intermittent Control ◽

Topology Identification ◽

Time Varying Delay ◽

General Complex ◽

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Robust adaptive synchronization of uncertain complex networks with multiple time-varying coupled delays

10.1002/cplx.21531 ◽

2014 ◽

Vol 20 (6) ◽

pp. 62-73 ◽

Author(s):

Yin-Ping Zhao ◽

Ping He ◽

Hassan Saberi Nik ◽

Junchao Ren

Keyword(s):

Complex Networks ◽

Adaptive Synchronization ◽

Multiple Time ◽

Time Varying ◽

Robust Adaptive ◽

Robust Adaptive Synchronization

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New conditions for synchronization in complex networks with multiple time-varying delays

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2013.01.006 ◽

2013 ◽

Vol 18 (9) ◽

pp. 2581-2588 ◽

Author(s):

Yan Dong ◽

Jin-Guo Xian ◽

Dong Han

Keyword(s):

Complex Networks ◽

Multiple Time ◽

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Synchronization in nonlinear complex networks with multiple time-varying delays via adaptive aperiodically intermittent control

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.2957 ◽

2018 ◽

Vol 33 (1) ◽

pp. 39-51 ◽

Author(s):

Chuan Zhang ◽

Xingyuan Wang ◽

Chunpeng Wang ◽

Zhuang Liu

Keyword(s):

Complex Networks ◽

Multiple Time ◽

Intermittent Control ◽

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Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3043283 ◽

2021 ◽

pp. 1-13

Author(s):

Jun Hu ◽

Zidong Wang ◽

Guo-Ping Liu

Keyword(s):

Complex Networks ◽

State Estimation ◽

Time Varying ◽

Delay Compensation ◽

Incomplete Observations

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Extended dissipativity and non-fragile synchronization for Recurrent neural networks with multiple time-varying delays via sampled-data control

IEEE Access ◽

10.1109/access.2021.3060044 ◽

2021 ◽

pp. 1-1

Author(s):

R. Anbuvithya ◽

S. Dheepika Sri ◽

R. Vadivel ◽

Nallappan Gunasekaran ◽

P. Hammachukiattikul

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Multiple Time ◽

Time Varying ◽

Sampled Data ◽

Data Control ◽

Sampled Data Control

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