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Distributed average filtering for sensor networks with sensor saturation

journal contribution
posted on 06.12.2017, 00:00 by H Zhang, H Yan, Fuwen Yang, Q Chen
This study addresses the distributed average set-membership filtering of spatially varying processes using sensor networks. The system under consideration contains sensor saturation in the presence of unknown-but-bounded process and measurement noise in the sensor network. The so-called distributed average set-membership filtering is defined to quantify bounded consensus regarding the estimation error. A sufficient condition for distributed average set-membership filtering parameter design is established in terms of a set of time-varying linear matrix inequalities. A recursive algorithm is developed for computing the estimator, controller gains and the ellipsoid that guarantees to contain the true state. Simulation results are provided to demonstrate the effectiveness of the proposed method.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

7

Issue

6

Start Page

887

End Page

893

Number of Pages

7

eISSN

1751-8652

ISSN

1751-8644

Location

United States

Publisher

IEEE

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

City University of Hong Kong; Jiao yu bu; TBA Research Institute; Tong ji da xue (China);

Era Eligible

Yes

Journal

IET control theory & applications.

Exports