Journal
INFORMATION FUSION
Volume 31, Issue -, Pages 65-75Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.inffus.2016.01.001
Keywords
Estimation; Filtering; Multi-sensor data fusion; Networked systems; Network-induced phenomena
Funding
- National Natural Science Foundation of China [61329301, 61273156, 11301118, 11271103]
- Youth Science Foundation of Heilongjiang Province of China [QC2015085]
- China Postdoctoral Science Foundation [2015T80482, 2014M560376]
- Jiangsu Planned Projects for Postdoctoral Research Funds [1402004A]
- Science Funds for the Young Innovative Talents of HUST
- Royal Society of the U.K.
- Alexander von Humboldt Foundation of Germany
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In this paper, some recent advances on the estimation, filtering and fusion for networked systems are reviewed. Firstly, the network-induced phenomena under consideration are briefly recalled including missing/fading measurements, signal quantization, sensor saturations, communication delays, and randomly occurring incomplete information. Secondly, the developments of the estimation, filtering and fusion for networked systems from four aspects (linear networked systems, nonlinear networked systems, complex networks and sensor networks) are reviewed comprehensively. Subsequently, some recent results on the estimation, filtering and fusion for systems with the network-induced phenomena are reviewed in great detail. In particular, some latest results on the multi-objective filtering problems for time-varying nonlinear networked systems are summarized. Finally, conclusions are given and several possible research directions concerning the estimation, filtering, and fusion for networked systems are highlighted. (C) 2016 Elsevier B.V. All rights reserved.
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