Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5472043 | Nonlinear Analysis: Hybrid Systems | 2017 | 17 Pages |
Abstract
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.
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Engineering
Control and Systems Engineering
Authors
R. Rakkiyappan, V. Preethi Latha, Quanxin Zhu, Zhangsong Yao,