期刊
KNOWLEDGE-BASED SYSTEMS
卷 23, 期 2, 页码 182-194出版社
ELSEVIER
DOI: 10.1016/j.knosys.2009.11.015
关键词
Knowledge; Model; Modelling algorithm; Plausible reasoning; Simulation
资金
- Romanian Ministry of Education, Research and Innovation through the PNII Idei [842/2008]
- Hungarian-Romanian and Slovenian-Romanian Intergovernmental Science and Technology Cooperation Programs
- CNCSIS
- CNMP of Romania
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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