Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406312 | Neurocomputing | 2015 | 14 Pages |
Abstract
This paper investigates local stochastic synchronization of Markovian neutral-type complex networks with partial information on transition probabilities. The coupling configuration matrices are not restricted to be symmetric. By designing a new augmented Lyapunov–Krasovskii functional and using reciprocally convex combination technique, new delay-dependent synchronization criterion in terms of linear matrix inequalities is derived. The obtained criterion depends on upper and lower bounds of delays. Numerical examples are provided to verify the effectiveness of the presented results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Junyi Wang, Huaguang Zhang, Zhanshan Wang, Hongjing Liang,