Title | ||
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Delay-dependent H∞ synchronization for chaotic neural networks with network-induced delays and packet dropouts. |
Abstract | ||
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This paper investigates the problem of H ∞ synchronization for chaotic neural networks with network-induced delays and packet dropouts. A novel master-slave synchronization scheme is established where the network-induced delays and data packet dropouts are taken into consideration. By constructing the Lyapunov functional and employing the Wirtinger-based integral inequality, several delay-dependent conditions are obtained to guarantee that the error system is globally asymptotically stable and satisfies a prescribed H ∞ performance constraint. Finally, two numerical examples are presented to validate the feasibility and effectiveness of the results derived. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1016/j.neucom.2016.05.026 | Neurocomputing |
Keywords | Field | DocType |
Chaotic neural networks,H∞ synchronization,Network-induced delays,Packet dropouts | Synchronization,Control theory,Network packet,Chaotic neural network,Lyapunov functional,Mathematics,Stability theory | Journal |
Volume | Issue | ISSN |
214 | C | 0925-2312 |
Citations | PageRank | References |
4 | 0.41 | 24 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yichun Niu | 1 | 8 | 3.50 |
Li Sheng | 2 | 125 | 15.24 |
Weibo Wang | 3 | 4 | 0.41 |