Nonlinear Filtering For Continuous-Time Systems Using The Linear Fractional Transformation Model

Abstract

In this paper, we propose Bayesian filtering technique for continuous-time dynamical models with sampled-data measurements using the linear fractional transformation (LFT) model which transforms the nonlinear state space model into an exact equivalent li