Name
Abstract | ||
|---|---|---|
In this paper, a general switched model of complex network with two types of delays is presented. The complex switched network (CSN) contains switching behaviors on both its nodes and topology configuration. Different from those CSNs studied in the existing literatures, the two switching signals dominating the nodes and topology are desynchronized. The two types of delays are the time-varying system delay in nodes and the time-varying coupling delay between nodes and they have different values. The inherent synchronization properties of the CSN have been studied not subject to any controllers. By defining a piecewise Lyapunov-Krasovskii function and by using the improved free-weighting matrix method, global exponential synchronizations are obtained. Illustrated example is presented to show the effectiveness of the proposed result. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.neucom.2011.04.015 | Neurocomputing |
Keywords | Field | DocType |
global exponential synchronization,time-varying system delay,illustrated example,synchronization,different value,existing literature,topology configuration,complex dynamical networks,nonlinear systems,time-varying coupling delay,switched systems,inherent synchronization property,improved free-weighting matrix method,complex network,nonlinear system,complex dynamics | Synchronization,Nonlinear system,Coupling,Exponential function,Control theory,Matrix method,Complex network,Piecewise,Mathematics | Journal |
Volume | Issue | ISSN |
74 | 17 | Neurocomputing |
Citations | PageRank | References |
3 | 0.39 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiang-Wen Xiao | 1 | 106 | 9.86 |
| Yuehua Huang | 2 | 207 | 13.11 |
| Yan-Wu Wang | 3 | 510 | 39.98 |
| Jingwen O. Yi | 4 | 3 | 0.39 |