Mode-dependent stochastic synchronization criteria for Markovian hybrid neural networks with random coupling strengths |
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| Authors: | Cheng-De Zheng Nan Sun |
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| Institution: | School of Science, Dalian Jiaotong University, Dalian 116028, PR China |
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| Abstract: | This paper is concerned with the stochastic synchronization problem for a class of Markovian hybrid neural networks with random coupling strengths and mode-dependent mixed time-delays in the mean square. First, a novel inequality is established which is a double integral form of the Wirtinger-based integral inequality. Next, by employing a novel augmented Lyapunov–Krasovskii functional (LKF) with several mode-dependent matrices, applying the theory of Kronecker product of matrices, Barbalat’s Lemma and the auxiliary function-based integral inequalities, several novel delay-dependent conditions are established to achieve the globally stochastic synchronization for the mode-dependent Markovian hybrid coupled neural networks. Finally, a numerical example with simulation is provided to illustrate the effectiveness of the presented criteria. |
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| Keywords: | Corresponding author |
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