Nonlinear state estimation using fuzzy local linear models

Abstract

Abstract A local modelling-based approach to nonlinear state estimation using a Sugeno fuzzy inference framework is presented. Four new fuzzy Kalman filters are proposed on this basis, and simulation results presented suggest potential improvements when compared with conventional extended Kalman filtering.