Quality improvement of control systems by multi-objective synthesis using the network operator method

The problem of multi-objective synthesis of automatic control systems is considered. A new numerical method of search for control dependence on the coordinates of space conditions is proposed. This functional dependence provides the best values of quality criteria in Pareto relations. The numerical method is based on creation of space of different functional dependences. Solutions that correspond to the best quality criteria are chosen. To construct the space of functional dependences, we use the network operator. The network operator describes mathematical expressions by means of directed graphs. A multi-objective genetic algorithm is used to find the best possible solutions on the space of network operators.

Authors
Diveev A.I.1 , Pupkov K.A.2 , Sofronova E.A. 3
Conference proceedings
17th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2010 - Proceedings
Publisher
State Research Center of the Russian Federation
Language
English
Pages
397-398
Status
Published
Year
2010
Organizations
  • 1 Institution of Russian Academy of Sciences, Dorodnicyn Computing Centre of RAS, 40, Vavilova str., Moscow, 119333, Russian Federation
  • 2 Bauman Moscow State Technical University, 5, 2-d Baumanskaya str., Moscow, 105005, Russian Federation
  • 3 Peoples' Friendship University of Russia, 6, Mikhlukho-Maklaya str., Moscow, 117198, Russian Federation
Keywords
Multi-objective genetic algorithm; Network operator; Synthesis of control systems
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/2837/
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