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Title: Recent advances on recursive filtering and sliding mode design for networked nonlinear stochastic systems: A survey
Authors: Hu, J
Wang, Z
Dong, H
Gao, H
Keywords: Recursive filtering;Sliding mode design;Nonlinear stochastic systems;Network-induced phenomena
Issue Date: 2013
Publisher: Hindawi Publishing Corporation
Citation: Mathematical Problems in Engineering, 2013: 646059, (2013)
Abstract: Some recent advances on the recursive filtering and sliding mode design problems for nonlinear stochastic systems with network-induced phenomena are surveyed. The network-induced phenomena under consideration mainly include missing measurements, fading measurements, signal quantization, probabilistic sensor delays, sensor saturations, randomly occurring nonlinearities, and randomly occurring uncertainties. With respect to these network-induced phenomena, the developments on filtering and sliding mode design problems are systematically reviewed. In particular, concerning the network-induced phenomena, some recent results on the recursive filtering for time-varying nonlinear stochastic systems and sliding mode design for time-invariant nonlinear stochastic systems are given, respectively. Finally, conclusions are proposed and some potential future research works are pointed out.
Description: Copyright © 2013 Jun Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISSN: 1024-123X
Appears in Collections:Dept of Computer Science Research Papers

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