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 Stable algorithms for the formation of control actions in local-optimal adaptive control systems for dynamic objects are given. Considering that the initial equations for estimating the parameters of an object and a control device, as a rule, are ill-conditioned, it becomes necessary to use regular methods. The stable algorithms for finding the desired solutions based on the methods of the minimum pseudoinverse matrix and singular decomposition, which contribute to improving the accuracy of the formation of control actions, are given.

  • Internet havola
  • DOI
  • UzSCI tizimida yaratilgan sana 10-01-2020
  • O'qishlar soni 297
  • Nashr sanasi 19-10-2018
  • Asosiy tilIngliz
  • Sahifalar59-62
English

 Stable algorithms for the formation of control actions in local-optimal adaptive control systems for dynamic objects are given. Considering that the initial equations for estimating the parameters of an object and a control device, as a rule, are ill-conditioned, it becomes necessary to use regular methods. The stable algorithms for finding the desired solutions based on the methods of the minimum pseudoinverse matrix and singular decomposition, which contribute to improving the accuracy of the formation of control actions, are given.

Muallifning F.I.Sh. Lavozimi Tashkilot nomi
1 Igamberdiyev H.Z. Department of Information processing and control systems, Faculty Electronic and Automatic, Tashkent State Technical University, Tashkent, Uzbekistan Address: Universitetskaya-2, 100095 Tashkent city, Republic of Uzbekistan E-mail: 1ihz_tstu@gmail.com TDTU
2 Sevinov J.U. Department of Information processing and control systems, Faculty Electronic and Automatic, Tashkent State Technical University, Tashkent, Uzbekistan Address: Universitetskaya-2, 100095 Tashkent city, Republic of Uzbekistan E-mail:sevinovjasur@gmail.com, TDTU
3 Yusupbekov A.N. Department of Information processing and control systems, Faculty Electronic and Automatic, Tashkent State Technical University, Tashkent, Uzbekistan Address: Universitetskaya-2, 100095 Tashkent city, Republic of Uzbekistan E-mail:uz321@mail.ru TDTU
4 Zaripov O.O. Department of Information processing and control systems, Faculty Electronic and Automatic, Tashkent State Technical University, Tashkent, Uzbekistan Address: Universitetskaya-2, 100095 Tashkent city, Republic of Uzbekistan E-mail:uz321@mail.ru TDTU
Havola nomi
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