Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model

Abstract

For nonlinear state space model involving random variables with arbitrary probability distributions, the state estimation given a sequence of observations is based on an appropriate criterion such as the minimum mean square error (MMSE). This leads to li