Robust Distributed H_∞ Filtering for Nonlinear Systems with Sensor Saturations and Fractional Uncertainties with Digital Simulation

This paper is concerned with the robust distributed H∞ filtering problem for nonlinear systems subject to sensor saturations and fractional parameter uncertainties. A sufficient condition is derived for the filtering error system to reach the required H∞ performance in terms of recursive linear matr...

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Published inDiscrete Dynamics in Nature and Society Vol. 2015; no. 2015; pp. 293 - 301-028
Main Authors Zhao, Yan, He, Zhiyuan, Tang, Guangfu, Liu, Dong, Pang, Hui
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Limiteds 2015
Hindawi Publishing Corporation
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
Control systems
Economic models
Sensors
Simulation
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Summary:This paper is concerned with the robust distributed H∞ filtering problem for nonlinear systems subject to sensor saturations and fractional parameter uncertainties. A sufficient condition is derived for the filtering error system to reach the required H∞ performance in terms of recursive linear matrix inequality method. An iterative algorithm is then proposed to obtain the filter parameters recursively by solving the corresponding linear matrix inequality. A numerical example is presented to show the effectiveness of the proposed method.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1026-0226
1607-887X
DOI:10.1155/2015/160683