期刊
NEUROCOMPUTING
卷 156, 期 -, 页码 231-238出版社
ELSEVIER
DOI: 10.1016/j.neucom.2014.12.056
关键词
Adaptive synchronization; Levy noise; Linear matrix inequality (LMI); Lyapunov functional; Markovian switching; Neural networks
资金
- Specialized Research Fund for the Doctoral Program of Higher Education [20120075120009]
- Natural Science Foundation of Shanghai [15ZR1401800, 12ZR1440200]
- Australian Research Council [DP140102180]
- National Key Basic Research Program, China [2011CB710706, 2012CB215202]
- 111 Project [B12018]
The problem of adaptive synchronization is considered for stochastic delayed neural networks with Markovian switching and Levy noise. The aim of the problem is to derive a sufficient condition and an adaptive control strategy such that the synchronization can be achieved for the master system and the slave system. By generalized Ito's formula and Lyapunov functional method, a sufficient condition in terms of LMI is established to ensure the synchronization of the two systems, and the adaptive update law is determined as well. A numerical simulation is provided to verify the usefulness of the proposed criterion. (C) 2015 Elsevier B.V. All rights reserved.
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