Algorithms of Sustainable Identification of Dynamic Objects in the Closed Control Line
Sevinov Jasur Usmonovich
Sevinov Jasur Usmonovich, Doctor of Technical Sciences, Professor, Department of Information processing and control systems, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.
Manuscript received on November 14, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 54-56 | Volume-9 Issue-2, December 2019. | Retrieval Number: A4842119119/2019©BEIESP | DOI: 10.35940/ijitee.A4842.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Algorithms for the stable identification of dynamic objects based on the results of their normal functioning in a closed control loop are presented. To improve the accuracy of the calculation of the parameters of the object, the regularization principle and pseudo-inversion methods based on the singular expansion are used. The resulted algorithms allow under certain noise signal conditions to carry out a stable identification of dynamic objects in a closed control loop.
Keywords: Dnamic Object, Sustainable Identification, Closed Control Line, Regularization, Pseudoinverse, Singular Expansion.
Scope of the Article: Algorithm Engineering