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An iterative method for constructing information sets of singularly perturbed systems. I. / Kremlev, A. G.
In: Automation and Remote Control, Vol. 61, No. 5 Part1, 2000, p. 730-741.

Research output: Contribution to journal › Article › peer-review

Harvard

Kremlev, AG 2000, 'An iterative method for constructing information sets of singularly perturbed systems. I', Automation and Remote Control, vol. 61, no. 5 Part1, pp. 730-741.

APA

Kremlev, A. G. (2000). An iterative method for constructing information sets of singularly perturbed systems. I. Automation and Remote Control, 61(5 Part1), 730-741.

Vancouver

Kremlev AG. An iterative method for constructing information sets of singularly perturbed systems. I. Automation and Remote Control. 2000;61(5 Part1):730-741.

Author

Kremlev, A. G. / An iterative method for constructing information sets of singularly perturbed systems. I. In: Automation and Remote Control. 2000 ; Vol. 61, No. 5 Part1. pp. 730-741.

BibTeX

@article{64197ff07b16463486e59cc02add7744,
title = "An iterative method for constructing information sets of singularly perturbed systems. I",
abstract = "The minimax filtering problem is studied for a singularly perturbed quasi-linear system, which operates in the presence of uncertain inputs, whose realizations are subjected to integral quadratic constraints. A procedure for computing successive approximations to the information set (the set of feasible states of the system which are compatible with the results of the current measurements) is proposed.",
author = "Kremlev, {A. G.}",
year = "2000",
language = "English",
volume = "61",
pages = "730--741",
journal = "Automation and Remote Control",
issn = "0005-1179",
publisher = "Maik Nauka-Interperiodica Publishing",
number = "5 Part1",

}

RIS

TY - JOUR

T1 - An iterative method for constructing information sets of singularly perturbed systems. I

AU - Kremlev, A. G.

PY - 2000

Y1 - 2000

N2 - The minimax filtering problem is studied for a singularly perturbed quasi-linear system, which operates in the presence of uncertain inputs, whose realizations are subjected to integral quadratic constraints. A procedure for computing successive approximations to the information set (the set of feasible states of the system which are compatible with the results of the current measurements) is proposed.

AB - The minimax filtering problem is studied for a singularly perturbed quasi-linear system, which operates in the presence of uncertain inputs, whose realizations are subjected to integral quadratic constraints. A procedure for computing successive approximations to the information set (the set of feasible states of the system which are compatible with the results of the current measurements) is proposed.

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000088424800002

M3 - Article

VL - 61

SP - 730

EP - 741

JO - Automation and Remote Control

JF - Automation and Remote Control

SN - 0005-1179

IS - 5 Part1

ER -

ID: 42727202