Generalized Dissipative State Estimation of Singularly Perturbed Switched Complex Dynamic Networks With Persistent Dwell-Time Mechanism

2020 ◽  
pp. 1-12
Author(s):  
Hao Shen ◽  
Xiaohui Hu ◽  
Xuangou Wu ◽  
Shuping He ◽  
Jing Wang
Keyword(s):  
State Estimation ◽  
Dwell Time ◽  
Dynamic Networks ◽  
Singularly Perturbed ◽  
Complex Dynamic ◽  
Dissipative State

scholarly journals Finite-Time Synchronization of Uncertain Complex Dynamic Networks with Nonlinear Coupling

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yiping Luo ◽  
Yuejie Yao
Keyword(s):  
Finite Time ◽  
Time Synchronization ◽  
Dynamic Networks ◽  
Nonlinear Function ◽  
Time Instant ◽  
Control Input ◽  
Parameter Uncertainties ◽  
Complex Dynamic ◽  
Network Nodes ◽  
Analysis Techniques

The finite-time synchronization control is studied in this paper for a class of nonlinear uncertain complex dynamic networks. The uncertainties in the network are unknown but bounded and satisfy some matching conditions. The coupling relationship between network nodes is described by a nonlinear function satisfying the Lipchitz condition. By introducing a simple Lyapunov function, two main results regarding finite-time synchronization of a class of complex dynamic networks with parameter uncertainties are derived. By employing some analysis techniques like matrix inequalities, suitable controllers can be designed based on the obtained synchronization criteria. Moreover, with the obtained control input, the time instant required for the system to achieve finite-time synchronization can be estimated if a set of LMIs are feasible or an assumption on the eigenvalues of some matrices can be satisfied. Finally, the effectiveness of the proposed results is verified by numerical simulation.

Extended dissipative state estimation of delayed stochastic neural networks

2020 ◽  
Vol 406 ◽  
pp. 244-252 ◽  
Author(s):  
Ramasamy Saravanakumar ◽  
Hiroaki Mukaidani ◽  
P. Muthukumar
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Stochastic Neural Networks ◽  
Dissipative State

Detecting Influential Spreaders in Complex, Dynamic Networks

Computer ◽  
2013 ◽  
Vol 46 (4) ◽  
pp. 24-29 ◽  
Author(s):  
Pavlos Basaras ◽  
Dimitrios Katsaros ◽  
Leandros Tassiulas
Keyword(s):  
Dynamic Networks ◽  
Complex Dynamic

Detection of local community structures in complex dynamic networks with random walks

2009 ◽  
Vol 3 (4) ◽  
pp. 266-278 ◽  
Author(s):  
G.S. Thakur ◽  
A.W.M. Dress ◽  
R. Tiwari ◽  
S.-S. Chen ◽  
M.T. Thai
Keyword(s):  
Random Walks ◽  
Local Community ◽  
Dynamic Networks ◽  
Community Structures ◽  
Complex Dynamic

Non-fragile mixed passive and H∞ state estimation for singularly perturbed neural networks with semi-Markov jumping parameters

2020 ◽  
Vol 357 (10) ◽  
pp. 6352-6369 ◽  
Author(s):  
Hao Shen ◽  
Yuan Wang ◽  
Jianwei Xia ◽  
Jinde Cao ◽  
Xiangyong Chen
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Singularly Perturbed
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