Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics.

Владимир Александрович Бондарко; Сергей Владимирович Гусев

Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics.

Переведенное название: Метод рекуррентных целевых неравенств В.А.Якубовича и его приложения в теории адаптивного управления и робототехнике

Владимир Александрович Бондарко, Сергей Владимирович Гусев

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

Аннотация

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 название	Метод рекуррентных целевых неравенств В.А.Якубовича и его приложения в теории адаптивного управления и робототехнике
Язык оригинала	английский
Название основной публикации	The 21st IFAC World Congress
Состояние	Опубликовано - 2020
Событие	21st IFAC World Congress - Germany, Berlin, Германия Продолжительность: 12 июл 2020 → 17 июл 2020 Номер конференции: 21 https://www.ifac2020.org/

конференция

конференция	21st IFAC World Congress
Страна	Германия
Город	Berlin
Период	12/07/20 → 17/07/20
Адрес в сети Интернет	https://www.ifac2020.org/

Цитировать

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title = "Notes on Yakubovich{\textquoteright}s method of recursive objective inequalities and its application in adaptive control and robotics.",

abstract = "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.",

author = "Бондарко, {Владимир Александрович} and Гусев, {Сергей Владимирович}",

year = "2020",

language = "English",

booktitle = "The 21st IFAC World Congress",

note = "21st IFAC World Congress ; Conference date: 12-07-2020 Through 17-07-2020",

url = "https://www.ifac2020.org/",

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Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics. / Бондарко, Владимир Александрович; Гусев, Сергей Владимирович.

The 21st IFAC World Congress. 2020.

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

TY - GEN

T1 - Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics.

AU - Бондарко, Владимир Александрович

AU - Гусев, Сергей Владимирович

N1 - Conference code: 21

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - The 21st IFAC World Congress

T2 - 21st IFAC World Congress

Y2 - 12 July 2020 through 17 July 2020

ER -