Back to Search
Start Over
Sampled-Data Synchronization of Markovian Coupled Neural Networks With Mode Delays Based on Mode-Dependent LKF.
- Source :
-
IEEE Transactions on Neural Networks & Learning Systems . Nov2017, Vol. 28 Issue 11, p2626-2637. 12p. - Publication Year :
- 2017
-
Abstract
- This paper investigates sampled-data synchronization problem of Markovian coupled neural networks with mode-dependent interval time-varying delays and aperiodic sampling intervals based on an enhanced input delay approach. A mode-dependent augmented Lyapunov–Krasovskii functional (LKF) is utilized, which makes the LKF matrices mode-dependent as much as possible. By applying an extended Jensen’s integral inequality and Wirtinger’s inequality, new delay-dependent synchronization criteria are obtained, which fully utilizes the upper bound on variable sampling interval and the sawtooth structure information of varying input delay. In addition, the desired stochastic sampled-data controllers can be obtained by solving a set of linear matrix inequalities. Finally, two examples are provided to demonstrate the feasibility of the proposed method. [ABSTRACT FROM PUBLISHER]
- Subjects :
- *ARTIFICIAL neural networks
*TIME delay systems
*LYAPUNOV functions
Subjects
Details
- Language :
- English
- ISSN :
- 2162237X
- Volume :
- 28
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Neural Networks & Learning Systems
- Publication Type :
- Periodical
- Accession number :
- 125813300
- Full Text :
- https://doi.org/10.1109/TNNLS.2016.2599263