Comments on "Adaptive fading Kalman filter with an application"

Ozbek L., Aliev F.

AUTOMATICA, vol.34, no.12, pp.1663-1664, 1998 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Letter
  • Volume: 34 Issue: 12
  • Publication Date: 1998
  • Journal Name: AUTOMATICA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1663-1664
  • Keywords: Kalman filter, adaptive Kalman filter
  • Ankara University Affiliated: Yes

Abstract

The performance of the normal Kalman filter (KF) will decrease when it is constructed on the basis of an erroneous model. Xia rt al. (1994) proposed a new adaptive state estimation algorithm to solve the divergence problem for 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.