has been cited by the following article(s):
[1]
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Topology detection for output-coupling weighted complex dynamical networks with coupling and transmission delays
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Mathematical Problems in Engineering,
2017 |
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[2]
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存在单重丢包的离散复杂网络状态估计研究
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南京邮电大学学报:自然科学版,
2015 |
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[3]
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Robust reduced-order state estimation for the complex network with multiple time-varying delays
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Control and Decision Conference (CCDC), 2015 27th Chinese,
2015 |
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[4]
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State estimation for continuous-time directed complex dynamical network with random packet dropout
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Control and Decision Conference (CCDC), 2015 27th Chinese,
2015 |
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[5]
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State estimation of complex dynamical networks with channel noise and time-varying delay
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Control Conference (CCC), 2014 33rd Chinese. IEEE,
2014 |
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[6]
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State estimation for nonlinear coupled complex dynamical networks with time delay
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Control and Decision Conference (2014 CCDC), The 26th Chinese. IEEE,
2014 |
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[7]
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噪声信道下输出耦合复杂动态网络的状态估计
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计算机技术与发展,
2013 |
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[8]
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Robust state estimation of fractional-order complex networks with parametric uncertainties
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Control Conference (CCC), 2013 32nd Chinese. IEEE,
2013 |
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[1]
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Topology Detection for Output-Coupling Weighted Complex Dynamical Networks with Coupling and Transmission Delays
Mathematical Problems in Engineering,
2017
DOI:10.1155/2017/6019714
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|
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[2]
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State estimation for continuous-time directed complex dynamical network with random packet dropout
The 27th Chinese Control and Decision Conference (2015 CCDC),
2015
DOI:10.1109/CCDC.2015.7162568
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|
|
[3]
|
Robust reduced-order state estimation for the complex network with multiple time-varying delays
The 27th Chinese Control and Decision Conference (2015 CCDC),
2015
DOI:10.1109/CCDC.2015.7161943
|
|
|
[4]
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State estimation for nonlinear coupled complex dynamical networks with time delay
The 26th Chinese Control and Decision Conference (2014 CCDC),
2014
DOI:10.1109/CCDC.2014.6852811
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|
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[5]
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State estimation of complex dynamical networks with channel noise and time-varying delay
Proceedings of the 33rd Chinese Control Conference,
2014
DOI:10.1109/ChiCC.2014.6897069
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