REGULARIZED ALGORITHMS FOR THE FORMATION OF CONTROL ACTIONS IN LOCALLY OPTIMAL CONTROL SYSTEMS FOR DYNAMIC OBJECTS
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Published
May 11, 2020
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Abstract
Regularized algorithms for the formation of control actions in locally optimal control systems for dynamic objects are given. Given that the initial equations for estimating the parameters of the object and the control device are usually poorly conditioned, it becomes necessary to apply regular methods. Stable algorithms for finding the desired solutions are presented on the basis of regular nonorthogonal factorizations and pseudo-inversions of square matrices that contribute to an increase in the accuracy of the formation of control actions.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
[1]
Jasur Usmonovich Sevinov, “REGULARIZED ALGORITHMS FOR THE FORMATION OF CONTROL ACTIONS IN LOCALLY OPTIMAL CONTROL SYSTEMS FOR DYNAMIC OBJECTS”, IEJRD - International Multidisciplinary Journal, vol. 5, no. Conference, p. 7, May 2020.
