Behavioral approximation of stochastic processes by rank reduced spectra

Christiaan Heij*, Wolfgang Scherrer

*Corresponding author for this work

Research output: Chapter/Conference proceedingChapterProfessional

Abstract

Behaviours provide an elegant, parameter free characterization of deterministic systems. We discuss a possible application of behaviours in the approximation of stochastic systems. This can be seen as an extension to the dynamic case of the well-known static factor analysis model. An essential difference is that we see modelling primarily as a matter of process approximation, not as a method to recover the true data generating process. In particular we see 'noise properties' as a kind of prior model assumption that can be compared with the resulting quality of the process approximation.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) - Kobe, Jpn
Duration: 11 Dec 199613 Dec 1996

Publication series

SeriesProceedings of the IEEE Conference on Decision and Control
Volume1
ISSN0191-2216

Conference

ConferenceProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4)
CityKobe, Jpn
Period11/12/9613/12/96

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