Cluster and local mode‐dependent filtering for distributed Markovian jump systems in lossy multi‐sensor networks-Reference-Cited by-同舟云学术

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Cluster and local mode‐dependent filtering for distributed Markovian jump systems in lossy multi‐sensor networks

Published:2017-05 Issue:3 Volume:11 Page:295-303
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Guan Yanpeng¹,Ge Xiaohua²^ORCID,Jiang Xiefu³

Affiliation:

1. Department of AutomationShanxi UniversityTaiyuan030006People's Republic of China

2. School of Software and Electrical EngineeringSwinburne University of TechnologyJohn Street, HawthornMelbourneVIC3122Australia

3. School of AutomationHangzhou Dianzi UniversityHangzhou310018People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2016.0374

Reference32 articles.

1. Distributed Fusion Estimation With Missing Measurements, Random Transmission Delays and Packet Dropouts

2. Hierarchical Fusion Estimation for Clustered Asynchronous Sensor Networks

3. Distributed robust estimation over randomly switching networks using H∞ consensus

4. Energy-Efficient Distributed Filtering in Sensor Networks: A Unified Switched System Approach

5. Distributed sampled-data asynchronous H∞ filtering of Markovian jump linear systems over sensor networks

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