MOOSE2—A toolbox for least-costly application-oriented input design

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• 作者：Mariette Annergren^a ; ^{mariette.annergren@ee.kth.se} ; Christian A. Larsson^b
• 关键词：Input design ; System identification ; MATLAB®
• 刊名：SoftwareX
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：5
• 期：Complete
• 页码：96-100
• 全文大小：281 K
• 卷排序：5

文摘

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.