In this paper, the problem of generalized state estimation for an array of Markovian coupled networks under the round-Robin protocol (RRP) and redundant channels is investigated by using an extended dissipative property. The randomly varying coupling of the networks under consideration is governed by a Markov chain. With the aid of using the RRP, the transmission order of nodes is availably orchestrated. In this case, the probability of occurrence data collisions through a shared constrained network may be reduced. The redundant channels are also used in the signal transmission to deal with the frangibility of networks caused by a single channel in the networks. The network induced phenomena, that is, randomly occurring packet dropouts and randomly occurring quantization are fully considered. The main purpose of the research is to find a desired estimator design approach such that the extended (Ω 1 , Ω 2 , Ω 3 ) - γ-stochastic dissipativity property of the estimation error system is guaranteed. In terms of the Lyapunov-Krasovskii methodology, the Kronecker product and an improved matrix decoupling approach, sufficient conditions for such an addressed problem are established by means of handling some convex optimization problems. Finally, the serviceability of the proposed method is explained by providing an illustrated example.

中文翻译：

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循环协议和冗余通道下马尔可夫耦合网络的广义状态估计


本文利用扩展耗散特性研究了循环协议（RRP）和冗余通道下马尔可夫耦合网络阵列的广义状态估计问题。所考虑的网络的随机变化耦合由马尔可夫链控制。借助RRP，可以有效地编排节点的传输顺序。在这种情况下，可以降低通过共享约束网络发生数据冲突的概率。信号传输中还采用了冗余通道，以应对网络中单一通道造成的网络脆弱性。充分考虑了网络引起的现象，即随机发生的丢包和随机发生的量化。研究的主要目的是找到一种理想的估计器设计方法，从而保证估计误差系统的扩展(Ω 1 , Ω 2 , Ω 3 ) - γ-随机耗散特性。根据Lyapunov-Krasovskii方法、Kronecker乘积和改进的矩阵解耦方法，通过处理一些凸优化问题，建立了解决该问题的充分条件。最后，通过提供示例来解释所提出方法的适用性。