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Pinning Sampled-Data Synchronization of Complex Dynamical Networks with Markovian Jumping and Mixed Delays Using Multiple Integral Approach

机译:用多种整体方法将复杂动态网络与Markovian跳跃和混合延迟的固定数据同步

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摘要

This study deals with the pinning synchronization problem for complex dynamical networks (CDNs) with Markovian jumping parameters and mixed delays under sampled-data control technique. The mixed delays cover both discrete and distributed delays. The Markovian jumping parameters are modeled as a continuous-time, finite-state Markov chain. The sufficient conditions for asymptotic synchronization of considered networks are obtained by utilizing novel Lyapunov-Krasovskii functional and multiple integral approach. The obtained criteria is formulated in terms of LMIs, which can be checked for feasibility by making use of available softwares. Lastly, numerical simulation results are presented to validate the advantage of the propound theoretical results. (C) 2016 Wiley Periodicals, Inc.
机译:本研究涉及具有Markovian跳跃参数的复杂动态网络(CDN)的循环同步问题,并在采样数据控制技术下的混合延迟。 混合延迟涵盖离散和分布式延迟。 Markovian跳跃参数被建模为连续时间,有限状态的Markov链。 通过利用新颖的Lyapunov-Krasovskii功能和多种积分方法,获得了考虑网络的渐近同步的充分条件。 所获得的标准在LMIS方面配制,可以通过使用可用的软件来检查可行性。 最后,提出了数值模拟结果以验证接种理论结果的优势。 (c)2016 Wiley期刊,Inc。

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