Regular algorithms of local-optimal stabilization of control objects with incomplete information

Authors

U.F Mamirov, PhD student, Department of Information Processing Systems and Management, Tashkent State Technical University Tel .: (90) 900-56-25Follow

Abstract

The problems of constructing stable algorithms for locally optimal stabilization of controlled dynamic objects under conditions of incomplete observations and non-measurable perturbations are considered. Algorithms for the formation of locally optimal control objects on the basis of pseudo-inversion concepts of matrices are presented. For a stable pseudo-inversion of matrices, we use the Tikhonov regularization method for extremal problems with the choice of the regularization parameter by the generalized residual principle. In determining the desired solution, we use the procedure for reducing the regularized system to a set of three diagonal systems of linear algebraic equations that are solved by the sweep method.

First Page

65

Last Page

69

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Recommended Citation

Mamirov, U.F (2018) "Regular algorithms of local-optimal stabilization of control objects with incomplete information," Chemical Technology, Control and Management: Vol. 2018: Iss. 2, Article 12.
DOI: https://doi.org/10.34920/2018.3.65-69