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Pinning stochastic sampled-data control for exponential synchronization of directed complex dynamical networks with sampled-data communications

机译:针对采样数据通信的指向复杂动态网络指数同步的固定随机采样数据控制

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摘要

This paper is concerned with the exponential synchronization of directed complex dynamical networks (CDNs) with sampled-data communications (SDCs) via pinning stochastic sampled-data control. Different from traditional directed CDNs with determined sampling intervals, multiple stochastic varying sampling intervals with given probabilities are considered in this paper. Compared with some existing control schemes, our control method is more practical because the random sampling intervals always happen in some practical situation. In addition, a Lyapunov-Krasovskii functional (LKF) with some new terms is constructed, which can fully capture the information on stochastic sampling intervals, stochastic input delays, and nonlinear functions. Based on the LKF and Wirtinger's inequality, less conservative synchronization criteria are obtained. Finally, numerical examples are given to illustrate the effectiveness and superiorities of the proposed results. (C) 2018 Elsevier Inc. All rights reserved.
机译:本文涉及通过循环随机采样数据控制的采样数据通信(SDC)指向复杂动态网络(CDN)的指数同步。与具有确定采样间隔的传统定向CDN不同,本文考虑了具有给定概率的多种随机变化的采样间隔。与一些现有的控制方案相比,我们的控制方法更实用,因为随机采样间隔总是在一些实际情况下发生。此外,构造了具有一些新术语的Lyapunov-Krasovskii功能(LKF),可以完全捕获有关随机采样间隔,随机输入延迟和非线性功能的信息。基于LKF和丝杠的不平等,获得了较少保守的同步标准。最后,给出了数值例子来说明所提出的结果的有效性和优势。 (c)2018年Elsevier Inc.保留所有权利。

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