Abstract | ||
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In this paper we present a new method of model reduction via the moments. The reduction technique is composed of two steps, the first one consists on using the Least Squares linear optimization algorithm to minimize a cost function representing the norm 2 of the error between different moments of the full order function and the reduced model. This solution represents an initialization of the second step algorithm which is based a Non Linear Programming minimizing a new criterion composed of the cost function of the first step and an equality constraint. |
Year | DOI | Venue |
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2007 | 10.15837/ijccc.2007.1.2332 | INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL |
Keywords | DocType | Volume |
moments, model reduction, optimization | Journal | 2 |
Issue | ISSN | Citations |
1 | 1841-9836 | 2 |
PageRank | References | Authors |
0.83 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Abdelmadjid Bentayeb | 1 | 2 | 1.17 |
Nezha Maamri | 2 | 17 | 2.03 |
Jean-Claude Trigeassou | 3 | 26 | 4.50 |