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Resilient state estimation for nonlinear complex networks with time-delay under stochastic communication protocol

机译:随机通信协议下具有时滞的非线性复杂网络的弹性状态估计

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In this paper, the resilient state estimation problem is discussed for a class of discrete nonlinear complex networks with time-delay subject to the stochastic communication protocol (SCP). The SCP is employed to determine which node has the priority of accessing to the communication networks at each transmission instant. A switch-based approach is utilized to establish the updating rule of the measurement output under the SCP. The aim of the paper is to design a resilient state estimator for the addressed complex networks with time-delay and SCP, where sufficient conditions are given to ensure that the estimation error is exponentially ultimate bounded in the mean-square sense and the asymptotic upper bound of the estimation error is given. Moreover, the expression forms of the desired estimator gains are obtained via the solutions to a set of linear matrix inequalities. Finally, a numerical example is provided to illustrate the validity of the proposed resilient state estimation method. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文讨论了一类具有随机通信协议(SCP)的时滞的离散非线性复杂网络的弹性状态估计问题。使用SCP确定在每个传输瞬间哪个节点具有访问通信网络的优先级。利用基于开关的方法来建立SCP下测量输出的更新规则。本文的目的是为具有时间延迟和SCP的寻址复杂网络设计一种弹性状态估计器,其中给出了充分的条件以确保估计误差在均方根和渐近上限上呈指数极限给出估计误差。此外,通过对一组线性矩阵不等式的解,可以获得所需估计器增益的表达形式。最后,提供了一个数值示例来说明所提出的弹性状态估计方法的有效性。 (C)2019 Elsevier B.V.保留所有权利。

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