| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4978430 | SoftwareX | 2016 | 5 Pages |
Abstract
MOOSE2 is a MATLAB®-based toolbox for solving least-costly application-oriented input design problems in system identification. MOOSE2 provides the spectrum of the input signal to be used in the identification experiment made to estimate a linear parametric model of the system. The objective is to find a spectrum that minimizes experiment cost while fulfilling constraints imposed in the experiment and on the obtained model. The constraints considered by MOOSE2 are: frequency or power constraints on the signal spectra in the experiment, and application or quality specifications on the obtained model.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Mariette Annergren, Christian A. Larsson,