Sustainable Algorithms For Synthesis Of Regulators In Adaptive Control Systems Of Parametrically Uncertain Objects

Authors

Uktam Farkhodovich Mamirov, Department of Information processing and control systems, Tashkent State Technical University, Tashkent, Uzbekistan, Address: Universitetskaya-2, 100095 Tashkent city, Republic of Uzbekistan,Follow

Abstract

The problems of formation and construction of regularized algorithms for estimating the parameters of regulators in systems of indirect adaptive control in parametrically indeterminate objects are considered. When constructing regularized estimates for regulator settings, the concept of pseudoinversion is used based on computing solutions with an unbiased square of length using an equivalent extended joint system. Algorithms for iterative refinement of the desired solution are given. These computational procedures make it possible to regularize the synthesis problem of the considered algorithms for estimating the parameters of regulators and to raise the qualitative indices of control processes of dynamic objects under conditions of parametric uncertainty.

First Page

126

Last Page

132

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Recommended Citation

Mamirov, Uktam Farkhodovich (2019) "Sustainable Algorithms For Synthesis Of Regulators In Adaptive Control Systems Of Parametrically Uncertain Objects," Chemical Technology, Control and Management: Vol. 2019: Iss. 4, Article 8.
DOI: https://doi.org/10.34920/2019.3.126-132