Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects
Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects
复制标题
具有网络诱发现象的网络系统的估计、过滤与融合：新进展与展望
DOI：
10.1016/j.inffus.2016.01.001
复制
发表时间：
2016-09-01
影响因子：
18.6
通讯作者：
Alsaadi, Fuad E.
中科院分区：
文献类型：
--
作者：
Hu, Jun;Wang, Zidong;Alsaadi, Fuad E.
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.
