Statistical analysis of dead-time system using a deterministic equivalent modeling method

Title
Statistical analysis of dead-time system using a deterministic equivalent modeling method
Author(s)
이문용팜두옹[팜두옹]
Keywords
CHAOS
Issue Date
201106
Publisher
WILEY-BLACKWELL
Citation
ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, v.6, no.3, pp.369 - 378
Abstract
To 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.
URI
http://hdl.handle.net/YU.REPOSITORY/25051http://dx.doi.org/10.1002/apj.576
ISSN
1932-2135
Appears in Collections:
공과대학 > 화학공학부 > Articles
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