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

Joint Authors

Liu, Dong
Tang, Guangfu
He, Zhiyuan
Zhao, Yan
Pang, Hui

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-01

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Liu, Dong& Tang, Guangfu& He, Zhiyuan& Zhao, Yan& Pang, Hui. 2015. Robust Distributed H∞ Filtering for Nonlinear Systems with Sensor Saturations and Fractional Uncertainties with Digital Simulation. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1060395

Modern Language Association (MLA)

Liu, Dong…[et al.]. Robust Distributed H∞ Filtering for Nonlinear Systems with Sensor Saturations and Fractional Uncertainties with Digital Simulation. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1060395

American Medical Association (AMA)

Liu, Dong& Tang, Guangfu& He, Zhiyuan& Zhao, Yan& Pang, Hui. Robust Distributed H∞ Filtering for Nonlinear Systems with Sensor Saturations and Fractional Uncertainties with Digital Simulation. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1060395

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1060395