Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12317
Title: Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects
Authors: Hu, J
Wang, Z
Chen, D
Alsaadi, FE
Keywords: Estimation;Filtering;Multi-sensor data fusion;Networked systems;Network-induced phenomena
Issue Date: 2016
Publisher: Elsevier
Citation: Information Fusion, 31: pp. 65 - 75, (2016)
Abstract: 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.
URI: http://www.sciencedirect.com/science/article/pii/S1566253516000087
http://bura.brunel.ac.uk/handle/2438/12317
DOI: http://dx.doi.org/10.1016/j.inffus.2016.01.001
ISSN: 1566-2535
Appears in Collections:Dept of Computer Science Research Papers

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