FORMATION OF ALGORITHMS FOR ESTIMATING UNKNOWN INPUT SIGNALS IN DYNAMIC CONTROL SYSTEMS

Authors

  • Kodirov Dilmurod Tukhtasinovich Associate Professor of the Department of Automation and Control of Technological Processes and Production and Information Technologies of the Namangan Institute of Engineering and Technology
  • Kodirova Feruza Mukhammadzhanovna Senior lecturer of the department "Building materials and products" of the Namangan Civil Engineering Institute
  • Sharibboev Shokhjakhon Master student of the Department of Automation and Control of Technological Processes and Production and Information Technologies of the Namangan Institute of Engineering and Technology

DOI:

https://doi.org/10.17605/OSF.IO/T95MD

Keywords:

regularization, accuracy, stability, linear equations

Abstract

The paper considers the formation of regularizing algorithms for recovering unknown input signals in control systems based on approximate information of the measure of incompatibility of the original operator equations using an estimate that cannot be improved on the class of input data equivalent in accuracy.

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References

Shankar P. Bhattacharyya, Lee H Keel. Control of Uncertain Dynamic Systems. CRC Press. 1991. -544 p.

Karabutov N.N. Structural identification of systems. Analysis of information structures. Publishing house: Librokom, 2009 .-- 176 p.

Krutko P.D. Inverse problems of dynamics in the theory of automatic control. –M .: Mechanical engineering, 2004. - 576 p.

Golubev A.E., Krishchenko A.P., Tkachev S.B. Stabilization of Nonlinear Dynamical Systems Using the Estimation of the System State by an Asymptotic Observer (Review) // Autom. 2005, no. 7. –S.3–42.

Krasnova S.A. Cascade synthesis of a state observer for nonlinear systems in the presence of external disturbances. Avtom., 2003, no. -WITH. 3-26

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Published

2022-02-12

How to Cite

[1]
Kodirov Dilmurod Tukhtasinovich, Kodirova Feruza Mukhammadzhanovna, and Sharibboev Shokhjakhon, “FORMATION OF ALGORITHMS FOR ESTIMATING UNKNOWN INPUT SIGNALS IN DYNAMIC CONTROL SYSTEMS”, IEJRD - International Multidisciplinary Journal, vol. 7, no. 1, p. 5, Feb. 2022.