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Ugrás a tartalomra

New results in modelling derived from Bayesian filtering

CímNew results in modelling derived from Bayesian filtering
Közlemény típusaJournal Article
Kiadás éve2010
SzerzőkPozna, C., R. - E. Precup, J. K. Tar, I. Škrjanc, and S. Preitl
FolyóiratKNOWLEDGE-BASED SYSTEMS
Évfolyam23
Kötet2
Oldalszám182 - 194
Kiadás dátuma2010
Kiadás nyelveeng
Összefoglalás

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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