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Synchronization of Randomly Coupled Neural Networks With Markovian Jumping and Time-Delay.
- Source :
-
IEEE Transactions on Circuits & Systems. Part I: Regular Papers . Feb2013, Vol. 60 Issue 2, p363-376. 14p. - Publication Year :
- 2013
-
Abstract
- This paper studies synchronization in an array of coupled neural networks with Markovian jumping and random coupling strength. The array of neural networks are coupled in a random fashion which is governed by Bernoulli random variable and each node has an interval time-varying delay. By designing a novel Lyapunov functional, using some inequalities and the properties of random variables, several delay-dependent synchronization criteria are derived for the coupled networks of continuous-time version. Discrete-time analogues of the continuous-time networks are also formulated and studied. Some new lemmas are developed to obtain less conservative synchronization criteria of both continuous-time model and its discrete-time analogues. Numerical examples of both continuous-time system and its discrete-time analogues are finally given to demonstrate the effectiveness of the theoretical results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15498328
- Volume :
- 60
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems. Part I: Regular Papers
- Publication Type :
- Periodical
- Accession number :
- 85169714
- Full Text :
- https://doi.org/10.1109/TCSI.2012.2215804