论文信息 - Nonlinear state estimation using fuzzy local linear models

Nonlinear state estimation using fuzzy local linear models

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.

SHAUN MCGINNITY | GEORGE IRWIN | G. Irwin | S. McGinnity

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