Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/6150
Title: Recent advances on filtering and control for nonlinear stochastic complex systems with incomplete information: A survey
Authors: Shen, B
Wang, Z
Liang, J
Liu, Y
Issue Date: 2011
Publisher: Hindawi Publishing Corporation
Citation: Mathematical Problems in Engineering, Artn: 530759, Sep 2011
Abstract: Some recent advances on the filtering and control problems for nonlinear stochastic complex systems with incomplete information are surveyed. The incomplete information under consideration mainly includes missing measurements, randomly varying sensor delays, signal quantization, sensor saturations, and signal sampling. With such incomplete information, the developments on various filtering and control issues are reviewed in great detail. In particular, the addressed nonlinear stochastic complex systems are so comprehensive that they include conventional nonlinear stochastic systems, different kinds of complex networks, and a large class of sensor networks. The corresponding filtering and control technologies for such nonlinear stochastic complex systems are then discussed. Subsequently, some latest results on the filtering and control problems for the complex systems with incomplete information are given. Finally, conclusions are drawn and several possible future research directions are pointed out.
Description: This Article is provided by the Brunel Open Access Publishing Fund - Copyright @ 2012 Hindawi Publishing
URI: http://www.hindawi.com/journals/mpe/2012/530759/
http://bura.brunel.ac.uk/handle/2438/6150
DOI: http://dx.doi.org/10.1155/2012/530759
ISSN: 1024-123X
Appears in Collections:Mathematical Science
Publications
Computer Science
Brunel OA Publishing Fund
Dept of Computer Science Research Papers

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