Standard

The method of recursive aim inequalities in adaptive control theory. / Bondarko, V. A.; Yakubovich, V. A.

In: International Journal of Adaptive Control and Signal Processing, Vol. 6, No. 3, 05.1992, p. 141-160.

Research output: Contribution to journalArticlepeer-review

Harvard

Bondarko, VA & Yakubovich, VA 1992, 'The method of recursive aim inequalities in adaptive control theory', International Journal of Adaptive Control and Signal Processing, vol. 6, no. 3, pp. 141-160. https://doi.org/10.1002/acs.4480060303

APA

Bondarko, V. A., & Yakubovich, V. A. (1992). The method of recursive aim inequalities in adaptive control theory. International Journal of Adaptive Control and Signal Processing, 6(3), 141-160. https://doi.org/10.1002/acs.4480060303

Vancouver

Bondarko VA, Yakubovich VA. The method of recursive aim inequalities in adaptive control theory. International Journal of Adaptive Control and Signal Processing. 1992 May;6(3):141-160. https://doi.org/10.1002/acs.4480060303

Author

Bondarko, V. A. ; Yakubovich, V. A. / The method of recursive aim inequalities in adaptive control theory. In: International Journal of Adaptive Control and Signal Processing. 1992 ; Vol. 6, No. 3. pp. 141-160.

BibTeX

@article{990db4a0fb6343abbfd2cae3b69e9717,
title = "The method of recursive aim inequalities in adaptive control theory",
abstract = "The method of recursive aim inequalities has been used in the theory of adaptive control since the late 1960s by a group of Leningrad mathematicians. The problem is reduced to an infinite system of recursive inequalities on the vectors of unknown parameters. These inequalities can be solved by using specially developed, finitely convergent algorithms. The method is illustrated by the solution of adaptive control problems for linear discrete systems under different assumptions on the plant and disturbances.",
keywords = "Adaptive control, Discrete system, Minimum phase system, Non‐minimum phase system, Non‐stochastic disturbances, Recursive inequalities, Suboptimal control",
author = "Bondarko, {V. A.} and Yakubovich, {V. A.}",
year = "1992",
month = may,
doi = "10.1002/acs.4480060303",
language = "English",
volume = "6",
pages = "141--160",
journal = "International Journal of Adaptive Control and Signal Processing",
issn = "0890-6327",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - The method of recursive aim inequalities in adaptive control theory

AU - Bondarko, V. A.

AU - Yakubovich, V. A.

PY - 1992/5

Y1 - 1992/5

N2 - The method of recursive aim inequalities has been used in the theory of adaptive control since the late 1960s by a group of Leningrad mathematicians. The problem is reduced to an infinite system of recursive inequalities on the vectors of unknown parameters. These inequalities can be solved by using specially developed, finitely convergent algorithms. The method is illustrated by the solution of adaptive control problems for linear discrete systems under different assumptions on the plant and disturbances.

AB - The method of recursive aim inequalities has been used in the theory of adaptive control since the late 1960s by a group of Leningrad mathematicians. The problem is reduced to an infinite system of recursive inequalities on the vectors of unknown parameters. These inequalities can be solved by using specially developed, finitely convergent algorithms. The method is illustrated by the solution of adaptive control problems for linear discrete systems under different assumptions on the plant and disturbances.

KW - Adaptive control

KW - Discrete system

KW - Minimum phase system

KW - Non‐minimum phase system

KW - Non‐stochastic disturbances

KW - Recursive inequalities

KW - Suboptimal control

UR - http://www.scopus.com/inward/record.url?scp=0026857234&partnerID=8YFLogxK

U2 - 10.1002/acs.4480060303

DO - 10.1002/acs.4480060303

M3 - Article

AN - SCOPUS:0026857234

VL - 6

SP - 141

EP - 160

JO - International Journal of Adaptive Control and Signal Processing

JF - International Journal of Adaptive Control and Signal Processing

SN - 0890-6327

IS - 3

ER -

ID: 86196872