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On energy-to-peak filtering for semi-Markov jump singular systems with unideal measurements

机译：具有非理想测量的半马尔可夫跳奇异系统的能量峰滤波

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This paper focuses on the energy-to-peak filtering issue for a class of singular semi-Markov jump systems with unideal measurements. Some network-induced phenomena, such as sensor nonlinearity and packet dropouts caused by the unideal measurements are considered. The occurrence of sensor non linearity is described in a random way and obeyed a Bernoulli distribution. In the framework of the Lyapunov-Krasovskii stability theory, some sufficient conditions are given to ensure that the considered error system is stochastically mean-square stable and guarantees an energy-to-peak (or called L-2 - L-infinity) performance level. On the basis of these conditions, an available design method to the desired filter is proposed drawing support from an improved matrix decoupling approach. For showing the effectiveness and superiority of the proposed method, we finally provide two illustrated examples. (C) 2017 Elsevier B.V. All rights reserved.
机译：本文关注于一类具有非理想测量值的奇异半马尔可夫跳跃系统的能量峰滤波问题。考虑了一些由网络引起的现象，例如传感器的非线性和非理想测量导致的数据包丢失。传感器非线性的发生以随机方式描述，并服从伯努利分布。在Lyapunov-Krasovskii稳定性理论的框架中，给出了一些充分条件，以确保所考虑的误差系统是随机均方稳定的，并保证了能量峰值（或称为L-2-L-无穷大）性能水平。 。基于这些条件，提出了一种针对所需滤波器的可用设计方法，该方法从改进的矩阵解耦方法中汲取了支持。为了展示所提出方法的有效性和优越性，我们最后提供了两个示例。 （C）2017 Elsevier B.V.保留所有权利。

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