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Robust Fractional Embedded Cubature Kalman Filter for Fractional Nonlinear Stochastic System
Jing Mu,Changyuan Wang,Wuqi Gao,Feng Tian,Jianlian Cheng 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.11
In this study, the fractional embedded cubature Kalman filter (FECKF) and robust fractional embedded cubature Kalman filter (RoFECKF) are proposed to design the estimate the states for fractional-order nonlinear discrete systems with Gaussian and non-Gaussian measurement noise, respectively. We develop FECKF algorith by extending embedded cubature Kalman filter to fractional nonlinear stochastic system with Gaussian noise. Meanwhile, RoFECKF is put forward to increase the estimation robustness under noisy measurements by applying the Huber method to FECKF. Simulation results on adaptive system identification and re-entry target tracking system demonstrate the effectiveness and robustness of the proposed approach.