A novel approach to model determination using the minimum model error estimation
The purpose of this paper is to present an algorithm for the combination of a proven nonlinear system identification technique, the minimum model error estimation algorithm (MME) with an analysis of variance (ANOVA) correlation routine where a forward stepwise procedure is implemented. The analysis...
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Published in | 2005 American Control Conference; Portland, OR; USA; 8-10 June 2005 pp. 5046 - 5051 vol. 7 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2005
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Subjects | |
Online Access | Get full text |
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Summary: | The purpose of this paper is to present an algorithm for the combination of a proven nonlinear system identification technique, the minimum model error estimation algorithm (MME) with an analysis of variance (ANOVA) correlation routine where a forward stepwise procedure is implemented. The analysis of variance approach to model identification is well documented primarily in social science literature but has been sparsely written about for engineering applications. This paper shows a significant improvement in nonlinear model identification when used in conjunction with the MME algorithm. |
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Bibliography: | SourceType-Conference Papers & Proceedings-1 ObjectType-Conference Paper-1 content type line 25 |
ISBN: | 0780390989 9780780390980 9780780390997 0780390997 |
ISSN: | 0743-1619 2378-5861 |
DOI: | 10.1109/ACC.2005.1470812 |