Processing Technique for Navigational Measurements on the Basis of Combining the Kalman and Neural-Fuzzy Filters

Alexander V. Yeliseev

doi:10.1615/J Automat Inf Scien.v39.i2.20

Journal of Automation and Information Sciences

Главный редактор: Arkadiy A. Chikriy (open in a new tab)

Ассоциированный редакторs: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

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ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

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Processing Technique for Navigational Measurements on the Basis of Combining the Kalman and Neural-Fuzzy Filters

Том 39, Выпуск 2, 2007, pp. 10-29

DOI: 10.1615/J Automat Inf Scien.v39.i2.20

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Alexander V. Yeliseev
Rostov Military Institute of Rocket Forces, Rostov-on-Don, Russia

Краткое описание

The problem of linear discrete filtering is considered under uncertainty of initial conditions. For estimation of initial conditions we propose to use filter on the basis of systems with fuzzy logic. We present algorithm for learning neural-fuzzy filter and variants of combining fuzzy and Kalman filters. Illustrative examples are given.

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