Variational Analytic Programming for Synthesis of Optimal Control for Flying Robot

The paper presents a novel numerical approach for automatic feedback control system synthesis. The controller is supposed to be described by the control function that depends on objects state. The developed variational analytic programming method allows to construct automatically the mathematical expression of the control function and also to adjust the parameters. The method organizes search of the optimal control function over the set of the small variations of the given basic solution. Search efficiency depends on the quality of the chosen basic solution. An example of automatic control system synthesis for flying robot with state constraints is shown. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Authors
Diveev A.I. 1 , Ibadulla S.I. 2 , Konyrbaev N.B. 2 , Shmalko E.Y.1
Publisher
Elsevier B.V.
Number of issue
19
Language
English
Pages
75-80
Status
Published
Volume
48
Year
2015
Organizations
  • 1 Institution of Russian Academy, Sciences Dorodnicyn Computing Centre of RAS, Russian Federation
  • 2 Peoples' Friendship University of Russia, Kazakhstan
Keywords
learning robot control; mobile robots; robust robot control; vehicles
Date of creation
19.10.2018
Date of change
10.03.2022
Short link
https://repository.rudn.ru/en/records/article/record/4673/
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