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2017 International Journal of Advanced Research in Science, Engineering and Technology   unpublished
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.