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Distributed Non-Fragile H Filtering of Discrete-Time Systems with Randomly Occurring Gain Variations

机译:分布式非易碎H 滤波与随机发生的增益变化的离散时间系统过滤

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The issue of distributed non-fragile H filtering for discrete-time systems with randomly occurring gain variations over sensor networks is investigated in this paper. The randomly occurring filter gain variations obey a known probability distribution. Based on stochastic analysis and Lyapunov function approach, the sufficient condition is presented to guarantee the desired stochastic stability and H disturbance attenuation level. The solution of the desired distributed filter gains is characterized by solving a set of linear matrix inequalities. Finally, a numerical simulation example is provided to show the effectiveness of the proposed design approach.
机译:分布式非脆弱的问题问题 在本文研究了对具有随机发生的增益变化的离散时间系统进行了过滤。随机发生的滤波器增益变化遵循已知的概率分布。基于随机分析和Lyapunov功能方法,提出了足够的条件以确保所需的随机稳定性和H. 扰动衰减水平。所需分布式过滤器增益的溶液的特征在于求解一组线性矩阵不等式。最后,提供了一种数值模拟示例以显示所提出的设计方法的有效性。

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