NDLI: Robust filtering for uncertain networked systems with randomly delayed and lost measurements

Content Provider	IET Digital Library
Author	Rezaei, Hossein Esfanjani, Reza Mahboobi Farsi, Milad
Abstract	This paper investigates the problem of robust filtering for networked linear time-varying systems with norm-bounded modelling uncertainties. Delay and dropout of measurement data in the transmission from sensor to filter are both modelled by a Bernoulli distributed random sequence. Finite-horizon two-stage Kalman filters are introduced whether or not the data packets in the network are time stamped. The parameters of robust Kalman filters are determined such that the covariances of the estimation errors are bounded and these upper bounds are guaranteed to be minimal. Novel augmented state vectors are used to extract procedures for computation of filters’ parameters. Lastly, simulation results are presented to demonstrate the superior performance of the proposed approach compared the existing methods in the literature.
Starting Page	320
Ending Page	327
Page Count	8
ISSN	17519675
Volume Number	9
e-ISSN	17519683
Issue Number	Issue 4, Jun (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2014.0163
Journal	IET Signal Processing
Publisher Date	2015-05-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Augmented State Vector Bernoulli Distributed Random Sequence Covariance Analysis Data Packets Delayed Measurement Estimation Error Estimation Theory Filtering Method in Signal Processing Finite-horizon Two-stage Kalman Filter Kalman Filter Lost Measurement Networked Linear Time-varying System Norm-bounded Modelling Uncertainties Robust Filtering Robust Kalman Filter Statistics Time Varying System Uncertain Networked System Uncertain System
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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