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Partial-information-based consensus of network systems with time-varying delay via sampled-data control

机译:基于部分信息的网络系统共识,通过采样数据控制具有时变延迟的延迟

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In this paper, a novel decoupling method is introduced to investigate the consensus of network systems with partial coupling on the basis of sampling control. The novel method is enabled us to discuss channels of each node for network systems individually. By constructing several Lyapunov functionals and combining with free weighting approach, the stability of network systems with target node is analyzed. On the other hand, network systems with time-varying delay are considered. Based on Fourier theory, an alternative inequality is presented, which is more precise than the Wirtinger inequalities. This inequality encompasses the Jensen one and leads to manageable linear matrix inequalities conditions (LMIs). Therefore, the consensus of network systems with time-varying delay can be guaranteed. Through two illustrated examples, the effectiveness of the proposed method is demonstrated sufficiently. (C) 2019 Elsevier B.V. All rights reserved.
机译:在本文中,引入了一种新的解耦方法,以研究采样控制基础耦合的网络系统共识。新的方法使我们能够单独讨论网络系统的每个节点的频道。通过构建几个Lyapunov功能并与免费加权方法组合,分析了具有目标节点的网络系统的稳定性。另一方面,考虑具有时变延迟的网络系统。基于傅立叶理论,提出了一种替代不等式,这比丝网不等式更精确。这种不等式包括Jensen One并导致可管理的线性矩阵不等式条件(LMI)。因此,可以保证网络系统与时变延迟的网络系统共识。通过两个所示的例子,充分证明了所提出的方法的有效性。 (c)2019 Elsevier B.v.保留所有权利。

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