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Finite-time H_∞ sampled-data synchronization for Markovian jump complex networks with time-varying delays

机译:时变时滞马尔可夫跳跃复杂网络的有限时间H_∞采样数据同步

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摘要

This paper investigates the finite-time H-infinity sampled-data synchronization problem for a class of dynamical complex networks with Markovian jump and time-varying delays. Based on a modified Lyapunov-Krasovskii function (LKF), which is fully considered the characteristics of sampled-data, a sampled-data controller are obtained. By introducing the free weighting matrices, some novel auxiliary function-based integral inequalities are applied to have less conservative than other existing results. Finally, three examples are given to show the effectiveness and superiority of the proposed methods. (C) 2018 Elsevier B.V. All rights reserved.
机译:研究了一类具有马尔可夫跳跃和时变时滞的动态复杂网络的有限时间H-无限采样数据同步问题。基于充分考虑了采样数据特征的改进的Lyapunov-Krasovskii函数(LKF),获得了采样数据控制器。通过引入自由加权矩阵,一些新颖的基于辅助函数的积分不等式被应用来具有比其他现有结果更少的保守性。最后,通过三个例子说明了所提方法的有效性和优越性。 (C)2018 Elsevier B.V.保留所有权利。

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