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New results in modelling derived from Bayesian filtering

TitleNew results in modelling derived from Bayesian filtering
Publication TypeJournal Article
Year of Publication2010
AuthorsPozna, C., R. - E. Precup, J. K. Tar, I. Škrjanc, and S. Preitl
JournalKNOWLEDGE-BASED SYSTEMS
Volume23
Issue2
Pagination182 - 194
Date Published2010
Publication Languageeng
Abstract

This paper suggests an original heuristic modelling algorithm expressed in terms of homogenous combinations of the classical system dynamics and the Bayesian degree of truth employed in modelling. The main benefits of the proposed approach compared to classical modelling are the increased transparency and alleviated computational time. Two case studies, dealing with a mobile robot and an unforced pendulum system, are included to exemplify and test the theoretical results. One of the case studies makes use of the definition and calculation of several discrete plausibilities. (C) 2009 Elsevier B.V. All rights reserved.
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