Journal
NONLINEAR ANALYSIS-HYBRID SYSTEMS
Volume 24, Issue -, Pages 28-44Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.nahs.2016.10.004
Keywords
Saturating actuator; Exponential synchronization; Markovian jumping neural network; Chaotic system; Sampled-data; Linear matrix inequality
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Funding
- Alexander von Humboldt Foundation of Germany [CHN/1163390]
- National Natural Science Foundation of China [61374080]
- Natural Science Foundation of Jiangsu Province [BK20161552]
- Qing Lan Project of Jiangsu Province
- Priority Academic Program Development of Jiangsu Higher Education Institutions
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This paper deals with the problem of exponential synchronization of Markovian jumping chaotic neural networks with saturating actuators using a sampled-data controller. By constructing a proper Lyapunov-Krasovskii functional (LKF) with triple integral terms, and employing Jensen's inequality, some new sufficient conditions for the exponential synchronization of considered chaotic neural networks are derived in terms of linear matrix inequalities (LMIs). The obtained LMIs can be easily solved by any of the available software. Finally, the numerical examples are provided to demonstrate the effectiveness of our theoretical results. (c) 2016 Elsevier Ltd. All rights reserved.
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