MEM-KF approximates the Bayes filter for polynomial systems by propagating moments and recovering max-entropy distributions, with point estimates extracted via semidefinite relaxation.
The extended Kalman filter as a local asymptotic observer for nonlinear discrete-time systems
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Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
MEM-KF approximates the Bayes filter for polynomial systems by propagating moments and recovering max-entropy distributions, with point estimates extracted via semidefinite relaxation.