Comments on "Adaptive fading Kalman filter with an application"

Citation
L. Ozbek et Fa. Aliev, Comments on "Adaptive fading Kalman filter with an application", AUTOMATICA, 34(12), 1998, pp. 1663-1664
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
AUTOMATICA
ISSN journal
00051098 → ACNP
Volume
34
Issue
12
Year of publication
1998
Pages
1663 - 1664
Database
ISI
SICI code
0005-1098(199812)34:12<1663:CO"FKF>2.0.ZU;2-V
Abstract
The performance of the normal Kalman filter (KF) will decrease when it is c onstructed on the basis of an erroneous model. Xia rt al. (1994) proposed a new adaptive state estimation algorithm to solve the divergence problem fo r the KF, namely adaptive fading Kalman filter (AFKF). This paper discusses the error covariance equation in the AFKF suggested by Xia er al. (1994). (C) 1998 Elsevier Science Ltd. All rights reserved.