Dual estimation of fractional variable order based on the unscented fractional order Kalman filter for direct and networked measurements. (English) Zbl 1345.93158

Summary: 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 filter and the unscented fractional Kalman filter have been used, respectively. The order estimation algorithms were applied to numerical examples and to real fractional variable order inertial system realized as an analog circuit.


93E11 Filtering in stochastic control theory
93E10 Estimation and detection in stochastic control theory
93C10 Nonlinear systems in control theory
Full Text: DOI


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