Standard

Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics. / Gusev, Sergei V. ; Bondarko, Vladimir A. .

In: IFAC-PapersOnLine, Vol. 53, No. 2, 2020, p. 1379-1384.

Research output: Contribution to journal › Conference article

Harvard

Gusev, SV & Bondarko, VA 2020, 'Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics', IFAC-PapersOnLine, vol. 53, no. 2, pp. 1379-1384.

APA

Gusev, S. V., & Bondarko, V. A. (2020). Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics. IFAC-PapersOnLine, 53(2), 1379-1384.

Vancouver

Gusev SV, Bondarko VA. Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics. IFAC-PapersOnLine. 2020;53(2):1379-1384.

Author

Gusev, Sergei V. ; Bondarko, Vladimir A. . / Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics. In: IFAC-PapersOnLine. 2020 ; Vol. 53, No. 2. pp. 1379-1384.

BibTeX

@article{088650607ab440879660124bad6cb236,
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 = "Gusev, {Sergei V.} and Bondarko, {Vladimir A.}",
year = "2020",
language = "English",
volume = "53",
pages = "1379--1384",
journal = "IFAC-PapersOnLine",
issn = "2405-8971",
publisher = "Elsevier",
number = "2",
note = "21st IFAC World Congress ; Conference date: 12-07-2020 Through 17-07-2020",
url = "https://www.ifac2020.org/",

}

RIS

TY - JOUR

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

AU - Gusev, Sergei V.

AU - Bondarko, Vladimir A.

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.

UR - https://www.sciencedirect.com/science/article/pii/S240589632032499X#!

M3 - Conference article

VL - 53

SP - 1379

EP - 1384

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8971

IS - 2

T2 - 21st IFAC World Congress

Y2 - 12 July 2020 through 17 July 2020

ER -

ID: 76152056