An L2 Gap Metric Identification Algorithm. IEEETEM2003.
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Abstract
In this paper, an L2-gap metric identification algorithm is proposed. The algorithm uses a set of frequency response samples to come up with rational models so that the L2-gap between the observations and the identified model is minimized. Each iteration of the algorithm involves solving a weighted least squares approximation problem. Illustrative examples are provided.
Item Type: | Article |
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Department: | College of Computing and Mathematics > lndustrial and Systems Engineering |
Depositing User: | Users 4447 not found. |
Date Deposited: | 02 Jun 2008 07:59 |
Last Modified: | 01 Nov 2019 13:27 |
URI: | http://eprints.kfupm.edu.sa/id/eprint/1485 |