Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/52339
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Type: Journal article
Title: On the relationships between lumpability and filtering of finite stochastic systems
Author: Ledoux, J.
White, L.
Brushe, G.
Citation: Journal of Applied Probability, 2008; 45(3):650-669
Publisher: Applied Probability Trust
Issue Date: 2008
ISSN: 0021-9002
1475-6072
Statement of
Responsibility: 
James Ledoux, Langford B. White, and Gary D. Brushe
Abstract: <jats:p>The aim of this paper is to provide the conditions necessary to reduce the complexity of state filtering for finite stochastic systems (FSSs). A concept of lumpability for FSSs is introduced. In this paper we assert that the unnormalised filter for a lumped FSS has linear dynamics. Two sufficient conditions for such a lumpability property to hold are discussed. We show that the first condition is also necessary for the lumped FSS to have linear dynamics. Next, we prove that the second condition allows the filter of the original FSS to be obtained directly from the filter for the lumped FSS. Finally, we generalise an earlier published result for the approximation of a general FSS by a lumpable FSS.</jats:p>
Keywords: Optimal filtering
model reduction
hidden Markov chain
discrete Markovian arrival process
DOI: 10.1239/jap/1222441821
Published version: http://dx.doi.org/10.1239/jap/1222441821
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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