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Guaranteed cost state estimation for output-coupling complex networks with time-varying delays

机译:具有时变时滞的输出耦合复杂网络的保证成本状态估计

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This paper is concerned with the problem of state estimation for output-coupling complex network with time-varying delays. The considered networks are coupled with outputs rather than states due to the fact that only partial states are available. The performance of state estimation is deteriorated by time delays. So we aim to design a guaranteed cost state estimator to estimate the network states such that, for time-varying delays, the dynamics of the estimation error is guaranteed to be globally stable and the performance deterioration of state estimation does not exceed a certain upper bound. By employing the Lyapunov-Krasovskii functional, delay-dependent criteria are established that ensure the existence of the desired estimator gains, and the explicit expression of such estimator gains is presented in terms of linear matrix inequalities(LMIs). A numerical example is provided to illustrate the effectiveness of the proposed estimator design scheme.
机译:本文涉及具有时变时滞的输出耦合复杂网络的状态估计问题。由于只有部分状态可用,因此考虑的网络与输出而不是状态耦合。时间延迟会降低状态估计的性能。因此,我们旨在设计一种保证成本状态估计器,以估计网络状态,以便对于时变时延,保证估计误差的动力学全局稳定,并且状态估计的性能下降不会超过某个上限。通过使用Lyapunov-Krasovskii函数,建立了依赖于延迟的标准,以确保存在所需的估计器增益,并以线性矩阵不等式(LMI)的形式给出了此类估计器增益的明确表示。提供了一个数值示例来说明所提出的估计器设计方案的有效性。

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