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# Dual Estimation of Fractional Variable Order Based on the Unscented Fractional Order Kalman Filter for Direct and Networked Measurements

@article{Sierociuk2016DualEO, title={Dual Estimation of Fractional Variable Order Based on the Unscented Fractional Order Kalman Filter for Direct and Networked Measurements}, author={Dominik Sierociuk and Michal Macias and Wiktor Malesza and Grzegorz Sarwas}, journal={CSSP}, year={2016}, volume={35}, pages={2055-2082} }

- Published 2016 in CSSP
DOI:10.1007/s00034-016-0255-1

The paper is devoted to variable order estimation process when measurements are obtained in two different ways: directly and by lossy network. Since the problem of fractional order estimation is highly nonlinear, dual estimation algorithm based on Unscented Fractional Order Kalman filter has been used. In dual estimation process, state variable and order estimation have been divided into two sub-processes. For estimation state variables and variable fractional order, the Fractional Kalman… CONTINUE READING