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Adaptive suboptimal systems with a variable dimension of the vector of adjustable parameters. / Bondarko, V. A.

в: Automation and Remote Control, Том 67, № 11, 11.2006, стр. 1732-1751.

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Bondarko, V. A. / Adaptive suboptimal systems with a variable dimension of the vector of adjustable parameters. в: Automation and Remote Control. 2006 ; Том 67, № 11. стр. 1732-1751.

BibTeX

@article{f18eebed1d204227a78e0477d59d65b1,
title = "Adaptive suboptimal systems with a variable dimension of the vector of adjustable parameters",
abstract = "A short review is presented of the methods of recurrent aim inequalities which is the trend developed by V.A. Yakubovich in the theory of adaptive systems. Two new problems are also considered of the suboptimal (in the minimax sense) adaptive control of minimum-phase discrete and continuous objects of the unknown order with delay. In passing a solution is found of the suboptimal problem for continuous objects with known parameters and a criterion is defined of the minimum phasing of the discrete model for a continuous object in the case when the delay is not a multiple of the discretization period. As an adaptive algorithm the finite-convergent algorithm shows up for the solution of the counting system of recurrent aim inequalities with a variable number of adjustable parameters which stabilizes only on completion of transient processes.",
author = "Bondarko, {V. A.}",
year = "2006",
month = nov,
doi = "10.1134/S0005117906110026",
language = "English",
volume = "67",
pages = "1732--1751",
journal = "Automation and Remote Control",
issn = "0005-1179",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "11",

}

RIS

TY - JOUR

T1 - Adaptive suboptimal systems with a variable dimension of the vector of adjustable parameters

AU - Bondarko, V. A.

PY - 2006/11

Y1 - 2006/11

N2 - A short review is presented of the methods of recurrent aim inequalities which is the trend developed by V.A. Yakubovich in the theory of adaptive systems. Two new problems are also considered of the suboptimal (in the minimax sense) adaptive control of minimum-phase discrete and continuous objects of the unknown order with delay. In passing a solution is found of the suboptimal problem for continuous objects with known parameters and a criterion is defined of the minimum phasing of the discrete model for a continuous object in the case when the delay is not a multiple of the discretization period. As an adaptive algorithm the finite-convergent algorithm shows up for the solution of the counting system of recurrent aim inequalities with a variable number of adjustable parameters which stabilizes only on completion of transient processes.

AB - A short review is presented of the methods of recurrent aim inequalities which is the trend developed by V.A. Yakubovich in the theory of adaptive systems. Two new problems are also considered of the suboptimal (in the minimax sense) adaptive control of minimum-phase discrete and continuous objects of the unknown order with delay. In passing a solution is found of the suboptimal problem for continuous objects with known parameters and a criterion is defined of the minimum phasing of the discrete model for a continuous object in the case when the delay is not a multiple of the discretization period. As an adaptive algorithm the finite-convergent algorithm shows up for the solution of the counting system of recurrent aim inequalities with a variable number of adjustable parameters which stabilizes only on completion of transient processes.

UR - http://www.scopus.com/inward/record.url?scp=33751521812&partnerID=8YFLogxK

U2 - 10.1134/S0005117906110026

DO - 10.1134/S0005117906110026

M3 - Article

AN - SCOPUS:33751521812

VL - 67

SP - 1732

EP - 1751

JO - Automation and Remote Control

JF - Automation and Remote Control

SN - 0005-1179

IS - 11

ER -

ID: 86196037