Regular methods for estimating the state of objects in dynamic and kinematic statements

Authors
Burlai, IV
Citation
Iv. Burlai, Regular methods for estimating the state of objects in dynamic and kinematic statements, J COMP SYST, 39(3), 2000, pp. 347-353
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL
ISSN journal
10642307 → ACNP
Volume
39
Issue
3
Year of publication
2000
Pages
347 - 353
Database
ISI
SICI code
1064-2307(200005/06)39:3<347:RMFETS>2.0.ZU;2-9
Abstract
The problem of estimating the state of objects with minimal a priori inform ation is solved in the framework of the classical regularization theory. Th e analytical solutions obtained for various motion models make it possible to construct estimation algorithms stable with respect to input data errors . The results of the numerical simulation are presented.