Internet Archive Scholar

Regular Algorithms of Synthesis of Parametrically Invariant Control Systems of Uncertainty Objects

Igamberdiev Zakirovich, Mamirov Farkhodovich
2017 International Journal of Advanced Research in Science, Engineering and Technology   unpublished

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (424.1 kB)
https://web.archive.org/web/20180423041001/http://www.ijarset.com/upload/2017/july/7-IJARSET-uktam.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL. The file type is application/pdf.

Computational regularized procedures for the synthesis of parametrically invariant control systems for undefined objects are presented based on the concepts of modal control. To solve this problem, we use a statistical regularizing algorithm based on the singular matrix decomposition. The expediency of choosing a regularization parameter based on the L-curve is shown. These computational procedures make it possible to regularize the problem of synthesizing invariant control systems and to
more » ... e the quality indicators of the processes of controlling dynamic objects under conditions of uncertainty.
fatcat:bblkulucengw7kex4i76z3nlwu
Citation

Igamberdiev Zakirovich, Mamirov Farkhodovich. "Regular Algorithms of Synthesis of Parametrically Invariant Control Systems of Uncertainty Objects." International Journal of Advanced Research in Science, Engineering and Technology (2017)