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Statistical analysis of dead‐time system using a deterministic equivalent modeling method
Author(s) -
Duong Pham Luu Trung,
Lee Moonyong
Publication year - 2011
Publication title -
asia‐pacific journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.348
H-Index - 35
eISSN - 1932-2143
pISSN - 1932-2135
DOI - 10.1002/apj.576
Subject(s) - latin hypercube sampling , monte carlo method , reliability (semiconductor) , computer science , algorithm , mathematics , statistics , power (physics) , physics , quantum mechanics
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. Copyright © 2011 Curtin University of Technology and John Wiley & Sons, Ltd.