The purpose of the paper is to introduce to the control community the brilliant but little-known part of Yakubovich's academic heritage - the method of recurrent objective inequalities. This method was successfully used by V.A.Yakubovich and his followers in pattern recognition, adaptive control and robotics. The paper deals with the last two topics. The most of surveyed results were published in Russian. A 1975 video about experiments with the first Soviet self-learning robot will be shown.
Translated title of the contributionМетод рекуррентных целевых неравенств В.А.Якубовича и его приложения в теории адаптивного управления и робототехнике
Original languageEnglish
Pages (from-to)1379-1384
JournalIFAC-PapersOnLine
Volume53
Issue number2
StatePublished - 2020
Event21st IFAC World Congress - Germany, Berlin, Germany
Duration: 12 Jul 202017 Jul 2020
Conference number: 21
https://www.ifac2020.org/

ID: 76152056