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Adaptive control via finitely-convergent algorithms. / Bondarko, Vladimir; Yakubovich, Vladimir.

9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts. PART 1. ed. International Federation of Automatic Control, 2007. p. 287-297 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 9, No. PART 1).

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Harvard

Bondarko, V & Yakubovich, V 2007, Adaptive control via finitely-convergent algorithms. in 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts. PART 1 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. PART 1, vol. 9, International Federation of Automatic Control, pp. 287-297. https://doi.org/10.3182/20070829-3-ru-4911.00047

APA

Bondarko, V., & Yakubovich, V. (2007). Adaptive control via finitely-convergent algorithms. In 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts (PART 1 ed., pp. 287-297). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 9, No. PART 1). International Federation of Automatic Control. https://doi.org/10.3182/20070829-3-ru-4911.00047

Vancouver

Bondarko V, Yakubovich V. Adaptive control via finitely-convergent algorithms. In 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts. PART 1 ed. International Federation of Automatic Control. 2007. p. 287-297. (IFAC Proceedings Volumes (IFAC-PapersOnline); PART 1). https://doi.org/10.3182/20070829-3-ru-4911.00047

Author

Bondarko, Vladimir ; Yakubovich, Vladimir. / Adaptive control via finitely-convergent algorithms. 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts. PART 1. ed. International Federation of Automatic Control, 2007. pp. 287-297 (IFAC Proceedings Volumes (IFAC-PapersOnline); PART 1).

BibTeX

@inproceedings{41b296d9895247628442aaeacb997589,
title = "Adaptive control via finitely-convergent algorithms",
abstract = "A short review of the method of finitely-convergent algorithms in the theory of adaptive systems is presented. The method was proposed in (Yakubovich, V.A., Recurrent Finite-convergent Algorithms to Solve the Systems of Inequalities, Dokl. Akad. Nauk SSSR, 1966, vol. 166, no. 6, pp. 1308-1311. English translation in Soviet Math. Dokl., 1966, vol. 7, pp. 300-304). The method consists of reduction of an adaptive control problem to a countable system of inequalities. A procedure of their solution plays a role of adaptation algorithm. It should converge in a finite time in a closed loop system. The method often allows to obtain suboptimal (in the minimax sense) adaptive control systems. Basic ideas and achievments of the method as well as some recent results are considered. Among them are adaptive control of sampled systems with time delay which is not a multiple of the sampling period. In this relation a problem of limiting zeros of sampled systems with delay arise. It is shown that limiting values of the sampling zeros have the same properties as zeros of Euler polynomials.",
keywords = "Adaptive control, Finitely-convergent algorithms, Generalized euler polynomials, Sampling zeros",
author = "Vladimir Bondarko and Vladimir Yakubovich",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2007",
doi = "10.3182/20070829-3-ru-4911.00047",
language = "English",
isbn = "9783902661296",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "International Federation of Automatic Control",
number = "PART 1",
pages = "287--297",
booktitle = "9th IFAC Workshop {"}Adaptation and Learning in Control and Signal Processing{"}, ALCOSP'2007 - Final Program and Abstracts",
address = "Austria",
edition = "PART 1",

}

RIS

TY - GEN

T1 - Adaptive control via finitely-convergent algorithms

AU - Bondarko, Vladimir

AU - Yakubovich, Vladimir

N1 - Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2007

Y1 - 2007

N2 - A short review of the method of finitely-convergent algorithms in the theory of adaptive systems is presented. The method was proposed in (Yakubovich, V.A., Recurrent Finite-convergent Algorithms to Solve the Systems of Inequalities, Dokl. Akad. Nauk SSSR, 1966, vol. 166, no. 6, pp. 1308-1311. English translation in Soviet Math. Dokl., 1966, vol. 7, pp. 300-304). The method consists of reduction of an adaptive control problem to a countable system of inequalities. A procedure of their solution plays a role of adaptation algorithm. It should converge in a finite time in a closed loop system. The method often allows to obtain suboptimal (in the minimax sense) adaptive control systems. Basic ideas and achievments of the method as well as some recent results are considered. Among them are adaptive control of sampled systems with time delay which is not a multiple of the sampling period. In this relation a problem of limiting zeros of sampled systems with delay arise. It is shown that limiting values of the sampling zeros have the same properties as zeros of Euler polynomials.

AB - A short review of the method of finitely-convergent algorithms in the theory of adaptive systems is presented. The method was proposed in (Yakubovich, V.A., Recurrent Finite-convergent Algorithms to Solve the Systems of Inequalities, Dokl. Akad. Nauk SSSR, 1966, vol. 166, no. 6, pp. 1308-1311. English translation in Soviet Math. Dokl., 1966, vol. 7, pp. 300-304). The method consists of reduction of an adaptive control problem to a countable system of inequalities. A procedure of their solution plays a role of adaptation algorithm. It should converge in a finite time in a closed loop system. The method often allows to obtain suboptimal (in the minimax sense) adaptive control systems. Basic ideas and achievments of the method as well as some recent results are considered. Among them are adaptive control of sampled systems with time delay which is not a multiple of the sampling period. In this relation a problem of limiting zeros of sampled systems with delay arise. It is shown that limiting values of the sampling zeros have the same properties as zeros of Euler polynomials.

KW - Adaptive control

KW - Finitely-convergent algorithms

KW - Generalized euler polynomials

KW - Sampling zeros

UR - http://www.scopus.com/inward/record.url?scp=79961057148&partnerID=8YFLogxK

U2 - 10.3182/20070829-3-ru-4911.00047

DO - 10.3182/20070829-3-ru-4911.00047

M3 - Conference contribution

AN - SCOPUS:79961057148

SN - 9783902661296

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

SP - 287

EP - 297

BT - 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts

PB - International Federation of Automatic Control

ER -

ID: 71533388