Authors
Zheng-Guang Wu, Peng Shi, Hongye Su, Jian Chu
Publication date
2013/1/9
Journal
IEEE transactions on cybernetics
Volume
43
Issue
6
Pages
1796-1806
Publisher
IEEE
Description
In this paper, the problem of sampled-data synchronization for Markovian jump neural networks with time-varying delay and variable samplings is considered. In the framework of the input delay approach and the linear matrix inequality technique, two delay-dependent criteria are derived to ensure the stochastic stability of the error systems, and thus, the master systems stochastically synchronize with the slave systems. The desired mode-independent controller is designed, which depends upon the maximum sampling interval. The effectiveness and potential of the obtained results is verified by two simulation examples.
Scholar articles
ZG Wu, P Shi, H Su, J Chu - IEEE transactions on cybernetics, 2013