Article ID Journal Published Year Pages File Type
406312 Neurocomputing 2015 14 Pages PDF
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
, , , ,