Estimation problem for network model at state and measurements attacks and information cost criterion

Abstract

The purpose of this research is to offer constructive algorithm for estimator search in one network model under state and measurements attacks. The model is nonstationary descriptor system including difference equations for node state variables and algebraic equations for measurements. State variables and measurements are considered as random vectors. We use information cost criterion in order to find optimal estimator of inner product. The main algorithm is based on reducing estimation problem to a problem of optimal control. Mean-squared error independent on attacks is obtained

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Cite this paper

@article{Karpmski2016EstimationPF, title={Estimation problem for network model at state and measurements attacks and information cost criterion}, author={Mikolaj Karpmski and Vasyl P. Martsenyuk and Iryna S. Gvozdetska and Bakhytzhan Akhmetov and Nazym Zhumangalieva}, journal={2016 16th International Conference on Control, Automation and Systems (ICCAS)}, year={2016}, pages={45-50} }