NDLI: Robust state estimation based on quadratic programming for network packet dropout

Content Provider	IEEE Xplore Digital Library
Author	Zonggen Yi Zhongjie Wang
Copyright Year	2011
Description	Author affiliation: College of Electronics and Information Engineering, Tongji University, Shanghai, P.R. China, 201804 (Zonggen Yi; Zhongjie Wang)
Abstract	With the development of network, the wide use of network makes the state sensing more complex, and there inevitably exists the effect of network's uncertainty. In this paper, a new model which considers the state estimation with the network packet dropout is proposed and this is a robust state estimation problem. In this paper a robust state estimation based on quadratic programming(RSE_QP) method is proposed. In this algorithm, with the use of l1 term to describe and handle the packet dropout, there needs some transformations to express it as a standard l1 — regularized least squares problem(LSP) for convenient and fast solving. Through solving a l1 — regularized LSP and associating with the Kalman filter updating procedure, the good estimated state is gained effectively even when there exists network packet dropout.
Starting Page	1647
Ending Page	1652
File Size	211198
Page Count	6
File Format	PDF
ISBN	9781457703201
e-ISBN	9781457703218
DOI	10.1109/ICECC.2011.6066360
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Network packet dropout Robustness Vectors Kalman filters L1-regularized least squares Quadratic programming State estimation Optimization Robust state estimation
Content Type	Text
Resource Type	Article

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