Exponential stability of filters and smoothers for Hidden Markov Models

L. Shue, B. D.O. Anderson, S. Dey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, we address the problem of exponential stability of filters and fixed-lag smoothers for discrete-time and discrete-state Hidden Markov Models (HMMs). By appealing to a generalised Perron-Frobenius result for nonnegative matrices, we demonstrate exponential forgetting for both the recursive filters and smoothers, and obtain overbounds on the rate of forgetting. Simulation studies are carried out to substantiate the results.

Original languageEnglish
Title of host publicationECC 1997 - European Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1025-1030
Number of pages6
ISBN (Electronic)9783952426906
DOIs
Publication statusPublished - 8 Apr 1997
Event4th European Control Conference, ECC 1997 - Brussels, Belgium
Duration: 1 Jul 19974 Jul 1997

Publication series

NameECC 1997 - European Control Conference

Conference

Conference4th European Control Conference, ECC 1997
Country/TerritoryBelgium
CityBrussels
Period1/07/974/07/97

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