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dc.contributor.author이문용ko
dc.contributor.author팜두옹[팜두옹]ko
dc.date.accessioned2015-12-17T01:23:21Z-
dc.date.available2015-12-17T01:23:21Z-
dc.date.created2015-11-13-
dc.date.issued201106-
dc.identifier.citationASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, v.6, no.3, pp.369 - 378-
dc.identifier.issn1932-2135-
dc.identifier.urihttp://hdl.handle.net/YU.REPOSITORY/25051-
dc.identifier.urihttp://dx.doi.org/10.1002/apj.576-
dc.description.abstractTo increase precision and reliability of automatic control systems, random factors affecting the control system have to be taken into account. In this article, the deterministic equivalent modeling method (DEMM) is used for statistical analysis of time delay systems with random parameters. The proposed method is compared with several existing methods such as the Monte Carlo, Latin-Hypercube, and Quasi Monte Carlo method, to demonstrate its validity and effectiveness. The result shows that the proposed DEMM-based approach drastically reduces computational time with a desired accuracy over traditional methods. (C) 2011 Curtin University of Technology and John Wiley & Sons, Ltd.-
dc.language영어-
dc.publisherWILEY-BLACKWELL-
dc.subjectCHAOS-
dc.titleStatistical analysis of dead-time system using a deterministic equivalent modeling method-
dc.typeArticle-
dc.identifier.wosid000291884500007-
dc.identifier.scopusid2-s2.0-79958198035-
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공과대학 > 화학공학부 > Articles
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