NONLINEAR STATE ESTIMATION USING FUZZY LOCAL LINEAR-MODELS

Authors
MCGINNITY S IRWIN G
Citation
S. Mcginnity et G. Irwin, NONLINEAR STATE ESTIMATION USING FUZZY LOCAL LINEAR-MODELS, International Journal of Systems Science, 28(7), 1997, pp. 643-656
Citations number
15
Categorie Soggetti
System Science","Computer Science Theory & Methods","Operatione Research & Management Science
Journal title
International Journal of Systems Science → ACNP
ISSN journal
00207721
Volume
28
Issue
7
Year of publication
1997
Pages
643 - 656
Database
ISI
SICI code
0020-7721(1997)28:7<643:NSEUFL>2.0.ZU;2-9
Abstract
A local modelling-based approach to nonlinear stare estimation using a Sugeno fuzzy inference framework is presented. Four new fuzzy Kalman filters are proposed on this basis, and simulation results presented s uggest potential improvements when compared with conventional extent-f ed Kalman filtering.