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.
Переведенное названиеМетод рекуррентных целевых неравенств В.А.Якубовича и его приложения в теории адаптивного управления и робототехнике
Язык оригиналаанглийский
Страницы (с-по)1379-1384
ЖурналIFAC-PapersOnLine
Том53
Номер выпуска2
СостояниеОпубликовано - 2020
Событие21st IFAC World Congress - Germany, Berlin, Германия
Продолжительность: 12 июл 202017 июл 2020
Номер конференции: 21
https://www.ifac2020.org/

ID: 76152056