Distributed non-fragile filtering for sensor networks with randomly occurring filter gain variations

Chen Juntong; Zhang Dan; Yu Li

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Distributed non-fragile filtering for sensor networks with randomly occurring filter gain variations

机译：具有随机发生的滤波器增益变化的传感器网络的分布式非脆弱滤波

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摘要

In this paper, the distributed filtering for a class of sensor networks with randomly occurring filter gain variations is investigated, where the additively norm-bounded filter gain variations are addressed. For the filter implementation uncertainties, a set of stochastic variables are firstly employed to indicate random occurrence of the filter gain variation and a set of norm bounds are introduced to measure the variation size. Based on some stochastic analysis method and using the robust control technique, a new sufficient condition is derived such that the filtering error system is asymptotically stable in the mean-square sense and achieves a prescribed H-infinity performance level. The optimal filter gains are also obtained and the effectiveness of the proposed design is finally demonstrated via a numerical example.

机译：在本文中，研究了具有随机发生的滤波器增益变化的一类传感器网络的分布式滤波，其中解决了加法范数界的滤波器增益变化。对于滤波器实现的不确定性，首先采用一组随机变量来表示随机出现的滤波器增益变化，然后引入一组范数边界来测量变化量。基于某种随机分析方法并使用鲁棒控制技术，得出了一个新的充分条件，使得滤波误差系统在均方意义上是渐近稳定的，并达到了规定的H-无穷大性能水平。还获得了最佳滤波器增益，并通过一个数值示例最终证明了所提出设计的有效性。

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来源
《International journal of general systems》 |2015年第8期|778-790|共13页
作者
Chen Juntong; Zhang Dan; Yu Li;
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作者单位

Zhejiang Univ Technol, Dept Automat, Hangzhou, Zhejiang, Peoples R China|Zhejiang Univ Sci & Technol, Sch Automat & Elect & Engn, Hangzhou, Zhejiang, Peoples R China;

Zhejiang Univ Technol, Dept Automat, Hangzhou, Zhejiang, Peoples R China;

Zhejiang Univ Technol, Dept Automat, Hangzhou, Zhejiang, Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
H-infinity filtering; non-fragile filtering; distributed filtering; random filter gain variations; sensor networks; linear matrix inequalities (LMIs);

机译：H无限滤波;非脆弱滤波;分布式滤波;随机滤波器增益变化;传感器网络;线性矩阵不等式（LMI）;

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机译：具有随机增益变化和衰落测量的传感器网络上的分布式非脆弱l_2-l_∞滤波
2. Distributed non-fragile l_2 -l_∞ filtering over sensor networks with random gain variations and fading measurements [J] . Chen Yun, Chen Cong, Xue Anke Neurocomputing . 2019,第Apra21期

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3. Non-fragile H-infinity filtering for delayed Takagi-Sugeno fuzzy systems with randomly occurring gain variations [J] . Liu Yajuan, Guo Bao-Zhu, Park Ju H. Fuzzy sets and systems . 2017,第JUNa1期

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4. Distributed Non-Fragile H∞ Filtering of Discrete-Time Systems with Randomly Occurring Gain Variations [C] . Cong Chen, Yun Chen, Anke Xue Annual Conference of the Society of Instrument and Control Engineers of Japan . 2018

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5. Cooperative Filtering, Identification, and Mapping for Spatially Distributed Systems Using Mobile Sensor Networks [D] . You, Jie 2018

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6. Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures [O] . Hao Wang, Shousheng Xie, Bin Zhou, 2020

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8. Optically-Amplified Scalable WDM Networks Using Acousto-Optic Filters forAmplification Gain Equalization and Signal Routing [R] . Smith, D. A., Willner, A., Li, K. 1997

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Distributed non-fragile filtering for sensor networks with randomly occurring filter gain variations

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