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Disturbance compensation with finite spectrum assignment for plants with input delay. / Furtat, Igor; Fridman, Emilia; Fradkov, Alexander.

в: IEEE Transactions on Automatic Control, Том 63, № 1, 01.2018, стр. 298-305.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Furtat, I, Fridman, E & Fradkov, A 2018, 'Disturbance compensation with finite spectrum assignment for plants with input delay', IEEE Transactions on Automatic Control, Том. 63, № 1, стр. 298-305. https://doi.org/10.1109/TAC.2017.2732279

APA

Vancouver

Furtat I, Fridman E, Fradkov A. Disturbance compensation with finite spectrum assignment for plants with input delay. IEEE Transactions on Automatic Control. 2018 Янв.;63(1):298-305. https://doi.org/10.1109/TAC.2017.2732279

Author

Furtat, Igor ; Fridman, Emilia ; Fradkov, Alexander. / Disturbance compensation with finite spectrum assignment for plants with input delay. в: IEEE Transactions on Automatic Control. 2018 ; Том 63, № 1. стр. 298-305.

BibTeX

@article{619e1af9fc374d0aa027ff7a4f37f164,
title = "Disturbance compensation with finite spectrum assignment for plants with input delay",
abstract = "This paper presents a method for compensation of unknown bounded smooth disturbances for linear time invariant (LTI) plants with known parameters in the presence of constant and known input delay. The proposed control law is a sum of the classical predictor suggested by Manitius andOlbrot for finite spectrum assignment and a disturbance compensator. The disturbance compensator is a novel control law based on the auxiliary loop for disturbance extraction and on the disturbance prediction. A numerical implementation of the integral terms in the predictor-based control law is studied and sufficient conditions in terms of linear matrix inequalities are provided for an estimate on the maximum delay that preserves the stability. Numerical examples illustrate the efficiency of the method.",
keywords = "Disturbance compensation, input delay, numerical implementation, predictor, stabilization, SYSTEMS",
author = "Igor Furtat and Emilia Fridman and Alexander Fradkov",
year = "2018",
month = jan,
doi = "10.1109/TAC.2017.2732279",
language = "English",
volume = "63",
pages = "298--305",
journal = "IEEE Transactions on Automatic Control",
issn = "0018-9286",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Disturbance compensation with finite spectrum assignment for plants with input delay

AU - Furtat, Igor

AU - Fridman, Emilia

AU - Fradkov, Alexander

PY - 2018/1

Y1 - 2018/1

N2 - This paper presents a method for compensation of unknown bounded smooth disturbances for linear time invariant (LTI) plants with known parameters in the presence of constant and known input delay. The proposed control law is a sum of the classical predictor suggested by Manitius andOlbrot for finite spectrum assignment and a disturbance compensator. The disturbance compensator is a novel control law based on the auxiliary loop for disturbance extraction and on the disturbance prediction. A numerical implementation of the integral terms in the predictor-based control law is studied and sufficient conditions in terms of linear matrix inequalities are provided for an estimate on the maximum delay that preserves the stability. Numerical examples illustrate the efficiency of the method.

AB - This paper presents a method for compensation of unknown bounded smooth disturbances for linear time invariant (LTI) plants with known parameters in the presence of constant and known input delay. The proposed control law is a sum of the classical predictor suggested by Manitius andOlbrot for finite spectrum assignment and a disturbance compensator. The disturbance compensator is a novel control law based on the auxiliary loop for disturbance extraction and on the disturbance prediction. A numerical implementation of the integral terms in the predictor-based control law is studied and sufficient conditions in terms of linear matrix inequalities are provided for an estimate on the maximum delay that preserves the stability. Numerical examples illustrate the efficiency of the method.

KW - Disturbance compensation

KW - input delay

KW - numerical implementation

KW - predictor

KW - stabilization

KW - SYSTEMS

UR - http://www.scopus.com/inward/record.url?scp=85028942424&partnerID=8YFLogxK

U2 - 10.1109/TAC.2017.2732279

DO - 10.1109/TAC.2017.2732279

M3 - Article

AN - SCOPUS:85028942424

VL - 63

SP - 298

EP - 305

JO - IEEE Transactions on Automatic Control

JF - IEEE Transactions on Automatic Control

SN - 0018-9286

IS - 1

ER -

ID: 37785781